Vide Item No 651 R Revised syllabus of ME Manufacturing System Engineering Sem I to IV CBCS REV 2022 Scheme_1 Syllabus Mumbai University


Vide Item No 651 R Revised syllabus of ME Manufacturing System Engineering Sem I to IV CBCS REV 2022 Scheme_1 Syllabus Mumbai University by munotes

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Copy to : -
1. The Deputy Registrar, Academic Authorities Meetings and Services
(AAMS),
2. The Deputy Registrar, College Affiliations & Development
Department (CAD),
3. The Deputy Registrar, (Admissions, Enrolment, Eligibility and
Migration Department (AEM),
4. The Deputy Registrar, Research Administration & Promotion Cell
(RAPC),
5. The Deputy Registrar, Executive Authorities Section (EA),
6. The Deputy Registrar, PRO, Fort, (Publi cation Section),
7. The Deputy Registrar, (Special Cell),
8. The Deputy Registrar, Fort/ Vidyanagari Administration Department
(FAD) (VAD), Record Section,
9. The Director, Institute of Distance and Open Learni ng (IDOL Admin),
Vidyanagari,
They are requested to treat this as action taken report on the concerned
resolution adopted by the Academic Council referred to in the above circular
and that on separate Action Taken Report will be sent in this connection.

1. P.A to Hon’ble Vice -Chancellor,
2. P.A Pro -Vice-Chancellor,
3. P.A to Registrar,
4. All Deans of all Faculties,
5. P.A to Finance & Account Officers, (F.& A.O),
6. P.A to Director, Board of Examinations and Evaluation,
7. P.A to Director, Innovation, Incubation and Linkages,
8. P.A to Director, Board of Lifelong Learning and Extension (BLLE),
9. The Director, Dept. of Information and Communication Technology
(DICT) (CCF & UCC), Vidyanagari,
10. The Director of Board of Student Development,
11. The Director, Dep artment of Students Walfare (DSD),
12. All Deputy Registrar, Examination House,
13. The Deputy Registrars, Finance & Accounts Section,
14. The Assistant Registrar, Administrative sub -Campus Thane,
15. The Assistant Registrar, School of Engg. & Applied Sciences, Kalyan ,
16. The Assistant Registrar, Ratnagiri sub -centre, Ratnagiri,
17. The Assistant Registrar, Constituent Colleges Unit,
18. BUCTU,
19. The Receptionist,
20. The Telephone Operator,
21. The Secretary MUASA

for information.

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AC – 11 July, 2022
Item No. – 6.51 (R)



University of Mumbai

























Revised Syllabus for
M.E.
(Manufacturing System Engineering)
Semester – (Ito IV)
(Choice Based Credit System)


(With effect from the academic year 2022 -23)






































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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022









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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022

Preamble

Education in engineering is growing in India and is expected to increase by a factor of several in
the near future. The current situation presents a significant challenge in terms of ensuring quality
to stakeholders while expanding. To face this challenge , the problem of quality must be addressed,
debated, and progressed in a methodical manner. Accreditation is the primary form of quality
assurance in higher education, and it signifies that the institution or programme of study is
committed to meeting cert ain minimum stated requirements and is available to external
assessment in order to get recognition. The main goal of this accrediting procedure is to assess the
outcomes of the programme being evaluated. Program outcomes are a collection of skills and
information that a student will possess upon completion of the programme. In keeping with this,
the University of Mumbai's Faculty of Science and Technology has taken the lead in
implementing the principle of outcome -based education into the curriculum buildi ng process.
We are pleased to report that the Postgraduate Program Educational Objectives were completed in
a brainstorming session attended by more than 20 members from the University's associated
institutes. They were either department heads or senior fa culty from the Mechanical Engineering
Department. The Program Educational Objectives finalized for the postgraduate program in
Mechanical Engineering are listed below;
1. To prepare the Learner with a sound foundation in the mathematical, scientific and en gineering
fundamentals.
2. To prepare the Learner to use modern tools effectively in order to solve real life problems.
3. To prepare the Learner for a successful career in Indian and Multinational Organisations
4. To encourage and motivate the Learner in the art of self -learning.
5. To inculcate a professional and ethical attitude, good leadership qualities and commitment to
social responsibilities in the Learner‘s thought process.
In addition to the aforementioned, linked Institutes may add 2 to 3 additio nal programme
instructional objectives of their own. In addition to Program Educational Objectives, each course
in a postgraduate program's curriculum includes objectives and expected outcomes from the
perspective of the learner to support the idea of outc ome-based education. We are convinced that
even a tiny move in the correct manner will go a long way toward ensuring that the main
stakeholders receive high -quality education.

Dr. S. K. Ukarande
Associate Dean
Faculty of Science and Technology
University of Mumbai Dr Anuradha Muzumdar
Dean
Faculty of Science and Technology
University of Mumbai



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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Preface
To tackle the challenge of assuring engineering education excellence, the problem of quality must
be addressed, debated, and progressed in a methodical manner. Accreditation is the primary way
of ensuring the quality of higher education. The main goal of the certification procedure is to
determine how good a company is. The major emphasis of accreditation process is to measure the
outcomes of the program that is being accredited. In line with this, Faculty of Technology of
University of Mumbai has taken a lead in incorporating philosophy of outcome -based education in
the process of curriculum development.
Faculty of Science and Technology, University of Mumbai, in one of its meetings collectively
resolved that, each Board of Studies shall prepare some Program Educational Objectives (PEOs),
give freedom to Affiliated Institutes to add few (PEOs), course objectives cour se outcomes to be
clearly defined for each course, so that all faculty members in linked institutes are aware of the
depth of approach to the subject to be given, so improving the learning process of students It was
also decided that while changing the cur riculum, the most senior academics from institutions and
industry specialists should be included.
We are happy to state that the Board of studies has adhered to the resolutions passed by Faculty of
Technology and developed curriculum accordingly. In additi on to outcome -based education,
Choice Based Credit System is also introduced to ensure quality of engineering education.
Choice Based Credit and Grading System allows for a much -needed shift in education focus from
teacher -centric to learner -centric, since the workload estimate is based on time spent learning
rather than teaching. It also emphasises constant evaluation, which will improve educational
quality. University of Mumbai has taken a lead in implementing the system through its affiliated
Institutes. Faculty of Technology has devised a transparent credit assignment policy, adopting a
ten-point scale to grade learner‘s performance. REV -2022 scheme is implemented for Master of
Engineering from the academic year 2022 -2023.
We trust this revised version o f syllabus come up to the expectations of all stakeholders. We wish
to place on record our sincere thanks and appreciations to the various contributors from the
academia and industry for their most learned inputs in framing this syllabus.
Board of Studies in Mechanical Engineering
Dr. Vivek K. Sunnapwar : Chairman
Dr. S. M. Khot : Member
Dr. V. M. Phalle : Member
Dr. Siddappa Bhusnoor : Member
Dr. S.S. Pawar : Member
Dr. Sanjay U. Bokade : Member
Dr. Dhanraj Tambuskar : Member
Dr. V. B. Tungikar : Member
Dr. K.P. Karunakaran : Member
Dr. S. S. Thipse : Member
Dr. Milind Deshmukh : Member









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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022



Semester I

Course
Code Course Name Teaching Scheme (Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MSEC101 Computer
Integrated
Manufacturing
Systems 3 -- -- 3 -- -- 3
MSEC102 Quality
Engineering 3 -- 3 -- 3
MSEPE101X Program Elective 1 3 -- -- 3 -- -- 3
MSEPE102X Program Elective 2 3 -- -- 3 -- -- 3
MSEIE101X Institute Elective 1 3 -- -- 3 -- -- 3
MSEL101 Computer
Integrated
Manufacturing Lab -- 2 -- -- 1 -- 1
MSESBL101 Advanced
Manufacturing Lab -- 4$ -- -- 2 -- 2
Total 15 06 -- 15 03 -- 18
Course
Code Course Name Examination Scheme
Theory
Term
Work Pract
/
Oral Total Internal Assessment End Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
MSEC101 Computer
Integrated
Manufacturing
Systems 20 20 20 80 3 -- -- 100
MSEC102 Quality
Engineering 20 20 20 80 3 -- -- 100
MSEPE101X Program Elective 1 20 20 20 80 3 -- -- 100
MSEPE102X Program Elective 2 20 20 20 80 3 -- -- 100
MSEIE101X Institute Elective 1 20 20 20 80 3 -- -- 100
MSEL101 Computer
Integrated
Manufacturing Lab -- -- -- -- -- 25 25 50
MSESBL101 Advanced
Manufacturing Lab -- -- -- -- -- 50 50 100
Total -- -- 100 400 -- 75 75 650

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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course
Code Program
Elective 1 Course
Code Program
Elective 2 Course
Code Institute
Elective 1
MSEPE1011 New Product Design
& Development MSEPE1021 Precision
Engineering MSEIE1011 Product Lifecycle
Management
MSEPE1012 Advanced Materials
Science MSEPE1022 Knowledge
Management MSEIE1012 Reliability
Engineering
MSEPE1013 World Class
Manufacturing MSEPE1023 Micro and Nano
Manufacturing MSEIE1013 Management
Information System
MSEIE1014 Design of
Experiments
MSEIE1015 Operation Research
MSEIE1016 Cyber Security and
Laws
MSEIE1017 Disaster Management
and Mitigation
Measures
MSEIE1018 Energy Audit and
Management

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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 Semester II

Course
Code Course Name Teaching Scheme(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MSEC201 Industrial
Automation 3 -- -- 3 -- -- 3
MSEC202 Advanced
Quantitative
Techniques 3 -- 3 -- 3
MSEPE201X Program Elective 3 3 -- -- 3 -- -- 3
MSEPE202X Program Elective 4 3 -- -- 3 -- -- 3
MSEIE20X Institute Elective 2 3 -- -- 3 -- -- 3
MSEL201 Industrial
Automation
Laboratory -- 2 -- -- 1 -- 1
MSESBL201 Manufacturing
Simulation Lab -- 4$ -- -- 2 -- 2
Total 15 06 -- 15 03 -- 18
Course
Code Course Name Examination Scheme
Theory
Term
Work Pract
/
Oral Total Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
MSEC201 Industrial
Automation 20 20 20 80 3 -- -- 100
MSEC202 Advanced
Quantitative
Techniques 20 20 20 80 3 -- -- 100
MSEPE201X Program Elective 3 20 20 20 80 3 -- -- 100
MSEPE202X Program Elective 4 20 20 20 80 3 -- -- 100
MSEIE201X Institute Elective 2 20 20 20 80 3 -- -- 100
MSEL201 Industrial
Automation
Laboratory -- -- -- -- -- 25 25 50
MSESBL201 Manufacturing
Simulation Lab -- -- -- -- -- 50 50 100
Total -- -- 100 400 -- 75 75 650

Note 1: Skill Based Lab - I and II are focused on the learning through experience. SBL shall facilitate the learner
to acquire the fundamentals of practical engineering in his or her specialization in a project -oriented
environment. The learning through skill base d labs can be useful in facilitating their research work and
hence useful in early completion of their dissertation work.

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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Program
Elective 3 Course Code Program
Elective 4 Course Code Institute
Elective 2
MSEPE2011 Strategic
Manufacturing for
Sustainability MSEPE2021 Logistics & Supply
Chain Management MSEIE2011 Project Management
MSEPE2012 Additive
Manufacturing and
Rapid Prototyping MSEPE2022 Machine Health
Monitoring
Management MSEIE2012 Finance Management
MSEPE2013 Manufacturing
Systems Design MSEPE2023 Smart Industries MSEIE2013 Entrepreneurship
Development and
Management
MSEIE2014 Human Resource
Management
MSEIE2015 Professional Ethics
and CSR
MSEIE2016 Research
Methodology
MSEIE2017 IPR and Patenting
MSEIE2018 Digital Business
Management
MSEIE2019 Environmental
Management

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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Semester III

Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MSEMP301 Major Project:
Dissertation -I -- 20 -- -- 10 -- 10
Total 00 20 00 00 10 -- 10
Course
Code Course Name Examination Scheme
Theory
Term
Work Pract/
Oral Total Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
MSEMP301 Major Project:
Dissertation -I -- -- -- -- -- 100 -- 100
Total -- -- -- -- -- 100 -- 100




Online Credit Courses

Course Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MSEOCC301 Online Credit Course - I -- -- -- -- -- -- 3
MSEOCC302 Online Credit Course - II -- -- -- -- -- -- 3
Total -- -- -- 00 00 00 06



Note 2: It is mandatory to complete the Online Credit Courses (OCC) available on NPTEL / Swayam /MOOC or
similar platform approved by UoM. These two courses shall be completed in any semester I or II or III,
but not later end of the Semester III. University shal l make a provision that credits earned with OCC - I
and OCC -II shall be accounted in the third semester grade -sheet with actual names of courses. The
learner shall be allowed to take up these courses from his or her institute or organisation/ industry where
his / her major project is carried out. The students shall complete the courses and shall qualify the exam
conducted by the respective authorities/ instructor from the platform. The fees for any such courses and
the corresponding examination shall be born e by the learner.

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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Semester IV

Course
Code Course Name Teaching Scheme
(Contact Hours) Credits Assigned
Theory Pract. Tut. Theory Pract. Tut. Total
MSEMP401 Major Project :
Dissertation -II -- 32 -- -- 16 -- 16
Total -- 32 -- -- 16 -- 16
Course
Code Course Name Examination Scheme
Theory
Term
Work Pract/
Oral Total Internal Assessment End
Sem.
Exam Exam.
Duration
(in Hrs) Test-1 Test-2 Avg
MSEMP401 Major Project :
Dissertation -II -- -- -- -- -- 100 100 200
Total -- -- -- -- -- 100 100 200
Total Credits: 68

Note 3: The Dissertation -II submission shall not be permitted till the learner completes all the requirements
ME course.

Note 4: The contact hours for the calculation of load of the teacher for Major Project are as follows:
Major Project Dissertation I and II - 02 Hour / week / student






























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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022

Course Code Course Name Credits
MSEC101 Computer Integrated Manufacturing Systems 03


Objectives:
1. To understand overall aspects of manufacturing systems and the manufacturing supporting
systems.
2. To understand the CIM database and database management system of a manufacturing firm.
3. To understand the functioning of computer integrated manufacturing Enterprise.
Outcomes: On completion of the course, learner will be able to:
1. Understand the basic principles of CIM and its elements.
2. Distinguish different types of inspection methods.
3. Emphasis the importance of group technology and cellular manufacturing systems.
4. Design automated material handling and storage systems for a typical production system.
5. Understand the importance of data communications in CIM environment.

Module Detailed Contents Hrs.
01 Introduction to CIM:
Introduction to CIM, Evolution, objectives, benefits, limitations, relationship between automation and
CIM, CIM hardware and software, role and functioning of elements of CIM, CIM Wheel. 07
02 Computer Process Monitoring and Control:
Computer Process Monitoring: Data logging Systems -Data acquisition systems - Multilevel scanning.
Computer Control: Computer -Process Interfacing -Manufacturing Process Data - System Interpretation
of Process Data -Interface Hardware Devices -Digital Input /Output Processing Interrupt system -Control
programming -Computer Process Control -Structural Model of a Manufacturing Process - Process
Control Strategies -Distributed Control versus Central Control - Supervisory Computer Control. 08
03 Development and implementation of an FMS:
Planning phase, Integration, System configuration, FMS layouts, Simulation, FMS Pr oject
development steps. Project management, Equipment development, Host system development,
planning, Hardware & Software development.
Automated Material Handling & Storage:
Functions, Types, Analysis of material handling equipment‘s, Design of Conveyor & AGV systems.
Problems. Development for total material handling system (Case study: Automatic Identification and
data capturing). 06
04 Computer Aided Process Planning and Quality Control:
(CAPP): Introduction and types.
(CAQC): Introduction to inspection and testing. Automated inspection principles and methods - When
and where to inspect, quantitative analysis of inspection, inspection technologies – contact and non -
contact types. Computer aided testing. 07
05 Cellular Manufacturing Systems:
Part Families, Parts Classification and Coding, Features of Parts Classification and Coding Systems,
Opitz of Parts Classification and Coding Systems, Production Flow Analysis, Composite Part Concept,
Machine Cell Design, Applications of Group Technology, Quantitative analysis of Cellular
Manufacturing, Grouping of parts and Machines by Rank Order Clustering, Arranging Machines in a
GT Cell, introduction to just in time and Holonic manufacturing.
Concurrent Engineering: Benefits and techniques of Concurrent Engineering, Framework for
integration of Life -cycle phases in CE, and Collaborative Product Development. 07
06 Role of Information Systems & Enterprise Wide Integration in CIM and CIM Models:
Introduction to Networking, Principles of Networking, Network Terminology, Types of Networks,
Selection of Network Technology, networks for manufacturing, Communication medium, Network
Topology, Medium access control Methods, Signaling methods; Network Architectures and Protocols:
OSI Model, MAP & TOP, TCP/IP, Netwo rk Interconnection and Devices, Network Performance.
Framework for Enterprise -wide Integration, CIM Models.
CIM database and database management systems.
Manufacturing Data: Types, sources, Database models, Architecture, Database Management System
(DBMS), Product Data Management (PDM), Advantages of PDM. 07



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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References:
1. Groover, M.P: ―Automation, Production System and CIM‖ - Prentice - Hall of India.
2. Vajpayee, ―Principles of CIM‖ - Prentice -Hall of India.
3. Ranky, Paul G: ―Computer Integrated Manufacturing‖ - Prentice -Hall of India.
4. Nanua Singh, ―Systems Approach to Computer Integrated Design and manufacturing‖ - John
Wiley.
5. Geoffrey Boothroyd , ―Assembly Automation and Product Design‖, (Manufacturing Engineering
and Materials Proces sing).
6. Radhakrishnan.P, Subramanyan. S, ―CAD/CAM/CIM‖, New Age International Publishers.



































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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEC102 Quality Engineering 03

Objectives:
1. To study fundamentals of statistical techniques.
2. To acquaint with various quality management tools.
3. To overcome obstacles for achieving a successful quality management.
4. To enable and understand Total Quality Management (TQM).

Outcomes: On completion of the course, learner will be able to:
1. Demonstrate th e understanding of modern quality concepts.
2. Demonstrate the understanding of statistical quality control charts.
3. Apply standard sampling plans.
4. Analyse modern management trends in quality improvement.
5. Apply concepts of TQM.

Module Detailed Con tents Hrs.
01 Quality Dimensions of Products and Services:
Definition & Evolution of Quality, Quality Assurance, and Quality Characteristics (dimensions).
Quality Control, Quality tasks & means to control them, Quality costs concept & its categories, Cost
reduction program and economics of quality. 07
02 Statistical Quality Control:
Basic Concept of Statistical Quality Control (SQC), Statistical Tools in Quality Control. Concept &
causes of variation, statistical aspect of control charting. Concept of rational sub -grouping and
detecting patterns on the control charts, for variables and attributes: X and R, p, np, c and u charts;
specification and tolerances, natural tolerance limits, specification limits, process capability ratio
analysis and studies.
Concept of Acceptance Sampling, Lot by lot sampling process, types. 07
03 Total Quality Management:
Basic concepts of TQM, historical review, leadership, concepts, role of senior management, quality
statements, plans for process parameters, Implementation of TQM, ISO 9000 quality system,
JuransTriology, Deming‘s Approach to TQM, Zero defect Concept. 07
04 Total Productive Maintenance:
History and Impact of TPM, Overall Equipment Effectiveness (OEE). Developing the TPM
implementation Plan, Preventive Mainte nance, techniques - FMEA, POKAYOKE and Future of TPM. 07
05 Six Sigma and Modern Quality Management Tools:
Evolution of six -sigma quality approach, steps involved in the application of six sigma, six sigma and
Indian Industries. Concept of process capabili ty, Basic & Modern tools in quality improvement,
Benchmarking, KAIZEN, JIT, 5 -S, Taguchi quality loss function. Introduction to DOE and RSM. 07
06 Case Studies:
Few case studies to understand how companies in various industries successfully implemented QE into
their systems and optimized it. 07


Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number o f respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 References:
1. Statistical Quality Control by M. Mahajan.
2. Grant, Eugene. L., ―Statistical Quality Control‖, McGraw -Hill, 1996.
3. Ross, P. Taguchi, ―Techniques for Quality Engineering‖, 2nd edition, McGrawHill,1966.
4. Douglas. C. Montgomery, ―Introduction to Statistical quality control‖, John Wiley, 4th Edition
2001.
5. John.S. Oakland, ―Statistical process control‖, Elsevier, 5th edition, 2005.
6. Besterfield D. H., ―Quality Control‖, Prentice Hall , 1993.
7. Sharma S. C., ―Inspection Quality Control and Reliability‖, Khanna Publishers, 1998.
8. Danny Samson, ―Manufacturing & Operations Strategy‖, Prentice Hall, 1991.
9. J. Juran, ―Quality Control Handbook‖, Mcgraw Hill USA.
10. A. V. Feigenbaum, ―Total quality c ontrol‖, Mcgraw hill Int.edition USA.
11. W. E .Deming, ―Out of crisis‖, Productivity & Quality publishing Pvt. Ltd., Chennai.
12. A. J. Dunkan, ―Quality control & Industrial statistics‖, Richard D. Irwin INC USA.
13. A. Zaidi, ―SPC,concepts,Methodology& tools‖, Prentice Hall India ltd., New Delhi.
14. Terry Wireman, ―Total Productive Maintenance‖, Industrial Press, 2nd Edition, New York.

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University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEPE1011 New Product Design & Development 03


Objectives:
1. Acquire a deep understanding & assimilate key concepts pertaining to new product design &
development process.
2. Get familiarised with product design & development approach & methodologies based on modern
engineering practises, tools and processes.
3. To stimulate creative & inventive solutions to problems.
4. Enable the learner to cope up with the product design challenges posed by the ongoing global
competitive scenario.
Outcomes: On completion of the course, learner will be able to:
1. Understand the generic product design & deve lopment process, tools and methodologies.
2. Get familiarised with product life cycle & product life cycle assessment.
3. Get familiarised with various software solutions and choose appropriate design approaches.
4. Understand product costing approach and economic feasibility of the product.
5. Get conversant with I.P rights & patenting procedure.

Module Detailed Contents Hrs.
01 Introduction:
Definition of product design, classification of products and product mix, product architecture. Various
considerations for design. Generic steps involved in modern design and development process.
Generation of concepts and embodiment of concept. Morphology of design, Design optimization. 07
02 Development Process:
Product life cycle & its implications, identifying customer needs, Kano Model, Bench marking
techniques & establishing engineering specifications, creativity techniques, simulation, Rapid
Prototyping techniques, Axiomatic design, Pugh concept selection approach, Weighted desi gn matrix. 07

03 Design Process:
Design for manufacturing & assembly (DFMA) , Design for Reliability & Maintainability, Green
Design, Sustainable design, Nano design, Sequential and Concurrent design, Reverse engineering
techniques, Robust Design & Ta guchi‘s DOE, Legal , Social & Ethical issues related to Design. 07
04 Ergonomics & Aesthetics:
Concepts of human engineering, Psychological & Physiological Considerations, Anthropometry,
Workplace, Man - Machine interaction, Comfort Criteria, Environmental Conditions including
temperature, illusion, noise, vibrations, control panels and displays.
Visual communication skills related to products & services, Concepts of size, shape & texture,
Generation of product forms, analogies from nature, colours and col our wheel, psychological
implications & interaction of colours. 07
05 Product Costing:
Product costing elements and methodology of product costing. Economic analysis – qualitative and
quantitative, Techno commercial viability, case studies on product costing.
Value engineering/value analysis – methodology, value engineering job plan, value engineering check
list, case studies on value engineering. 07
06 Software solutions& IP Rights:
Drafting Modeling, CAD/CAE tools, CAM interface, CAPP, various softw ares employed and their
capabilities.
Patents & IP Acts – overview & disclosure preparation. 07

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.






Page 18

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References:
1. Karl T. Ulrich, Steven D. Eppinger, ―Product Design & Development‖, Tata McGrawhill New
Delhi, 2003.
2. David G. Ullm an, ―The Mechanical Design Process‖, McGrawhill Inc. Singapore, 1992.
3. N. J. M. Roozenberg, J. Ekels, N. F. M. Roozenberg, ―Product Design Fundamentals and
Methods‖, John Willey & Sons, 1995.
4. Byers, Mel, ―The Design Encyclopedia‖, John Wiley & Sons, 1994.
5. Kevin Otto & Kristin Wood, ―Product Design: Techniques in Reverse Engineering and New
Product Development‖, 1/e 2004, Pearson Education, New Delhi.
6. L. D. Miles, ―Value Engineering‖.
7. Hollins B. & Pugh S., ―Successful Product Design‖, Butterworths London.
8. Baldwin E. N. &Neibel B. W., ―Designing for Production‖, Edwin Homewood Illinois.
9. Jones J. C., ―Design Methods‖, John Willey New York.
10. Bralla J. G., ―Handbook of Product Design for Manufacture‖, McGrawhill New York.

Page 19

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEPE1012 Advanced Materials Science 03

Objectives:
1. To give fundamental knowledge about type of materials, their usage, properties and
characteristics, which are important in engineering design.
2. To give a theoretical background about the analysis of behaviour of engineering materials
by emphasizing important relationships between internal structure and properties.
3. To understand the relationship between Nano/microstructure, characterization, properties
and processing and design of materials.
4. To Underst and the behaviour of composite material.
5. To Differentiate the properties and applications of metals, ceramics, polymers and
composite materials. Understand the significance, properties and applications of
nanomaterials.
Outcomes: On completion of the cours e, learner will be able to:
1. Demonstrate extensive knowledge and skills related to selected topics covered by the
course.
2. Use this knowledge and skills to discuss and analyse relevant problems connected to these
topics.

Module Detailed Contents Hrs.
01 Review of fundamentals:
Covalent, Ionic, Metallic and Van -der Walls Bond, Bond strength and melting point, Crystalline
structures, Vacancies, Dislocations and other crystal defects. Metals Vs Alloys – Microstructure
characterization. 06
02 Mechanical behaviour of metals and alloys:
Elastic and plastic behaviour, Tensile & compressive stress -strain relations for elastic behaviours.
Fracture toughness, fatigue failure, creep failure, wear and abrasion. 05
03 Metals and alloys:
HSLA Steels, tool and die materials, alloy cast -irons, stainless steels, PH and Maraging steels.
Materials for low temperature applications, refractory metals and super alloys, hard field steels, ball
bearing steels, automobile alloys and aerospace alloys. 05
04 Polymers:
Definit ions, Classifications, Monomers, Polymerization principles, Addition, Condensation, Mass
,Suspensions and emulsion polymerizations Classification – Thermoplastic and Thermosets,
Crystalline and Amorphous, Natural and Synthetic, Linear, branched and cross -linked; Engineering,
commodity and speciality polymers Homo polymers and co -polymers, Elastomers and Thermoplastic
elastomers Polymer Blends and Alloys, Liquid crystal polymers, Polymer foams Properties and
applications of polymers, Viscoelastic, Thermal, E lectrical, Optical, Environmental & Mechanical
behaviour. Important thermoplastics and thermosets - their moulding characteristics, properties and
applications. 12
05 Ceramics and Composite: Various ceramic materials and their applications Engineering ceramics,
Environmental influence on ceramics Ceramic crystal structures – Binary and Ternary structures.
Fundamentals of composite: Definition, Classification of composite materials, Laws of mi xtures,
Factors affecting composite properties, Interfacial bonding, Mechanical Behaviour of Composites,
Glass fibers, Carbon fibers, Silicon Carbide fibers, and Metallic Glasses. 06
06 Advanced Materials:
Concept of Nano materials, scale and dimensional aspects for preparing Nano materials synthesis and
properties, applications of Nano materials. Biomaterials, super alloys, shape memory alloys. Carbon as
a special material, Smart materials. Nano -Physics, Preparation of Nano phase materials -Sol -gel,
electro- deposition, plasma assisted deposition, Molecular beam epitaxy etc. Advanced Nano -
composites Thin film preparation of metal oxides, Application of Nanostructured Materials. 08

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.



Page 20

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All que stion carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References:
1. Materials Science by R. S. Khu rmi& R. S. Sedha, S. Chand & Co.
2. Mechanical Metallurgy by George Dieter, Mc Grawhill.
3. Heat Treatment Principles by Rajan, Sharma & Sharma Prentice Hall.
4. Plastics Engg by R. J. Crawford, Butterworth Hieneman.
5. Composite Materials Scence& Engineering by Krish nan Chawla, Springer Verlag.
6. Plastics Technology Handbook by M. Chandra & S. K. Roy, Marcel Dekker.
7. Mechanical properties of ceramics by John B. Wactman, John Willey & Sons.
8. Metal Matrix composites: Thermomechanical behaviour by Taya M. & Arsenault R. J., Pergamon
press - Oxford.
9. Analysis & performance of fibre composites by B D Agarwal & L J Broutman, John Willey &
sons - New York.
10. Transport in Nanostructures, D. K. Ferry and S. M. Goodnick, Cambridge University Press, 1997.
11. Chemistry of Advanced Materials , Edited L. V. Interrante and M. J. Hampden -Smith, Wiley –VCH
- U.S.A., 1998.

Page 21

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEPE1013 World Class Manufacturing 03

Objectives:
1. Help the learner understand and assimilate deeper insights into the opportunities &
challenges faced by manufacturing as a domain today.
2. Prepare the learner to face the demands and complexities of a global market place.
Outcomes: On completion of the course, learner will be able to:
1. Understand the relevance and basics of World Class Manuf acturing.
2. Design and develop a roadmap for world class manufacturing.
3. Meet the challenges that the Indian manufacturer‘s faces, as it evolves from a domestic to a
world class global manufacturer status.

Module Detailed Contents Hrs.
01 Historical Perspective:
World class manufacturing organizations, Models for manufacturing excellence: Schonberger, Halls,
Gunn and Maskell models, Business Excellence.
Globalization and International Business; Global Competitiveness and Manufacturing Excellence,
Manu facturing and Information age competition; Manufacturing challenges and Problems in
Manufacturing Industries. 06
02 System and Tools for World Class Manufacturing:
Improving Product & Process Design – Lean Production – SQC, FMS, Rapid Prototyping, Poka Yoke,
5-S, 3 M, JIT, Product Mix, Optimization, Procurement & stores practices. Total Productive
maintenance, Visual Control. 07
03 Benchmark, Bottlenecks and Best Practices:
Concepts of benchmarking, Bottleneck and best practices, Best performers Gainin g competitive edge
through world class manufacturing Value added manufacturing, Value Stream mapping, Eliminating
waste, Toyota Production System, Example. 07
04 HR Dimensions in WCM – WCM Strategy Formulation:
Adding value to the organization, Organizati onal learning – techniques of removing Root cause of
problems – People as problem solvers, New organizational structures.
Associates, Facilitators – Teamsmanship, Motivation and reward in the age of continuous
improvement. 07
05 Typical Characteristics of WCM Companies:
Performance indicators like POP, TOPP and AMBITE systems – what is world class Performance –Six
Sigma philosophy. 07
06 Competitive Indian Manufacturing:
Manufacturing Performance and competitiveness of Indian Firms, Manufacturing objectives and
Strategy, Usage of Management Tools and Technologies. Manufacturing Management Practices, IT
Infrastructure and Practices, Strategic Intent Framework, Breadth and Integration of IT Infrastructure,
The Future WCM.
Manufacturing strategy: Futi le search for an Elusive Link, Manufacturing Strategic Intent classification
translating into action.
WCM - the Indian Scenario:
Case studies on leading Indian companies moving towards world class manufacturing – Task Ahead.
Green Manufacturing, Clean man ufacturing, Agile manufacturing. 08

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any m odule other than module 3).
4. Only Four questions need to be solved.

Page 22

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
References:
1. Sahay B. S., Saxena KBC and Ashish Kumar, ―World Class Manufacturing - Strategic Perspective
Mac Milan Publications‖, New Delhi.
2. Korgaonkar M. G., ―Just In Time Manufacturing ‖, MacMilan Publications.
3. Narayanan V. K., ―Managing Technology and Innovation for Competitive Advantage‖, Prentice
Hall, 2000.
4. Adam and Ebert, ―Production and Operational Management‖, 5th Edition, Prentice Hall learning
Pvt. Ltd., New Delhi.
5. Ron Moore, ―Making Common Sense Common Practice – Models for manufacturing Excellence‖,
Butter worth Heinmann.
6. Jeffrey K. Liker ―The Toyota Way – 14 Management Principles‖, Mc -Graw Hill, 2003.
7. Chase Richard B., Jacob Robert., Operations Management for Comp etitive Advantage‖, 11th
Edition, McGraw Hill Publications, 2005.

Page 23

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEPE1021 Precision Engineering 03

Objectives:
1. To understand the need for precision and application.
2. To understand concepts of accuracy and errors due to numerical interpolation.
3. To understand the aspects of precision engineering like precision Materials, Measurement and
Machining.
Outcomes: On completion of the course, learner will be able to:
1. Enhance his/her knowledge in Precision Engineering and its applications.
2. Explore new dimension of research in the field of precision and ultra -precision materials and
Machining methods.
Module Detailed Contents Hrs.
01 Accuracy and precision:
Introduction - concept of accuracy and precision, Need for high precisi on, Accuracy of numerical
control systems. Errors due to numerical interpolation - displacement measurement system and velocity
lags. 06
02 Geometric Dimensioning and Tolerancing:
Interpretation, measurement and application of form tolerances, datum system. Targets –tolerance of
position Tolerance zone conversions , Surfaces, features, features of size, datum features -Datum, oddly
configured and curved surfaces as datum features, eq ualizing datum. 06
03 Precision Materials and Machining:
Diamond – types -single crystal - PCD, Natural -synthetic CBN, Ceramics – coated metals and nonmetals,
High performance polymer, alloys, refractory metals: cutting tools performance, Components of
instruments, Jewels self -Lubrication, smart materials – properties, testing, applications. Precision
Machining :Precision grinding - High -speed grinding, High -speed Milling -Micromachining, Diamond
turning -MEMS, micro finishing process. 05
04 Precision Measuri ng Systems:
Units of length, legal basis for length measurement, Traceability – Processing system of nanometer
accuracies, LASER light source - LASER interferometer, LASER alignment telescope, LASER
micrometer -on-line and in -process measurements of diamet er and surface roughness using LASER -
Micro holes and topography measurements - In processing or in -situ measurement of position of
processing point -Post process and on -machine measurement of dimensional features and surface -
mechanical and optical measurin g systems. Straightness. Flatness measurement – Optoelectronic
Measurement Systems in Metrology, Opto electronic devices contact and non -contact types Applications
- Tool wear measurement, 3D Surface roughness, and Pattern generation studies. 09
05 Nano -Positioning Systems of Nano Accuracy & Repeatability:
Guide systems for moving elements - Servo control systems for tool positioning Computer Aided digital
and ultra -precision position control. 09
06 Computer Integrated Quality Assurance:
Concept of Total quality control & quality assurance, Zero defects -POKAYOKE Statistical evaluation of
data using computer, CNC CMM applications - Computer Aided measurement, data integration of 3D -
CMM. 07

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% s yllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.


Page 24

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 References:
1. Murthy R. L., ―Precis ion Engineering in Manufacturing‖, New Age International (P) Limited,
1996.
2. James D. Meadows, - ―Geometric Dimensioning and Tolerancing‖, Marcel Dekker Inc.,1995.
3. Spotts, ―Dimensioning and tolerancing of mass production‖, Prentice Hall, 1983.
4. Watson. J., " Optoelectronics‖, Van Nostrand Rein hold (UK) Co. ltd.,1988.
5. Robert. G. Seippel, - ―Optoelectronics for Technology and Engineering‖, Prentice Hall
NewJersey,1989.
6. Ulrich -Rembold, Armbruster and Ulzmann, ―Interface technology for computer controlled
manuf acturing processes", Marcel Dekker Pub. - New York, 1993.
7. John Frederick Wise Galyer, Charles Reginald Shotbolt, "Metrology for Engineers", Cassell
8. Thomas. G. G., ―Engineering metrology‖, Butterworth Pub.,1974.
9. Norio Taniguchi, ―Nano Technology‖, Oxford un iversity Press, 1996.
10. Venkatesh V. C. and Sudin I., ―Precision engineering‖, Tata McGraw Hill Co. -New Delhi.
11. David Dorifield, Dae Eur Lee, ―Precision Manufacturing‖, Springer Publishers, 2008.
12. Anthony James Thomas Scarr, ―Metrology and Precision Engineerin g‖, McGraw -Hill.


Page 25

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEPE1022 Knowledge Management 03


Objectives:
1. Define KM, learning organizations, intellectual capital and understand the role of knowledge
management in organizations and its successful system life cycle.
2. Identify and use tools and techniques of KM for the different stages of creation, acquisition,
transfer and management of knowledge.
3. Analyze and evaluate tangible and intangible knowledge assets and address current KM
issues.
4. Evaluate the impact of new technologies such as networks and Internet/intranet role in
managing knowledge.
5. By understanding of the importance of intellectual capital, articulate how to create the
competitive advantage in manufacturing and other organizations.
Outcomes: On comp letion of the course, learner will be able to:
1. Understand the importance of intellectual capital to benefit in the competitive advantage and
how to create conducive KM infrastructure in organizations.
2. Choose application packages in KM and the issues in des igning and developing knowledge
databases (including intranets and groupware).
3. Develop a working knowledge in the area through focused projects and career options.
4. Analyze impacts of implementation of KM infrastructure.
Module Detailed Contents Hrs.
01 Introduction to Knowledge Management:
Data, Information and Knowledge, KM Myths, KM Life Cycle, Understanding Knowledge,
Knowledge, intelligence, Experience, Cognition. KM Types of Knowledge, Expert Knowledge,
Human Thinking and Learning, Learning Organiza tion-Characteristics, benefits, challenges of
Learning Organization. 06
02 Knowledge Management System Life Cycle:
Challenges in Building KM Systems – key differences of Conventional and KM System Life Cycle,
Knowledge Creation. Knowledge Architecture – Nonaka‘s Model of Knowledge Creation and
Transformation. Knowledge Architecture and its layers. 08
03 Knowledge Capturing:
Evaluating the Expert – Developing a Relationship with Experts – Fuzzy Reasoning. The Quality of
Knowledge – Knowledge Capturing or discovery Techniques, Brain Storming, storytelling, knowledge
sharing, – Protocol Analysis – knowledge application systems (expert systems and decision support
systems - Consensus Decision Making – Repertory Grid for competency mapping - Concept Mapping
and u se of software‘s. 08
04 Knowledge Codification and Coordination:
Principles of K Codification -Modes of Knowledge Conversion, Codification Tools and Procedures,
Knowledge Developer‘s Skill Sets, System Testing. Deployment, Knowledge Testing, Approaches to
Logical Testing, User Acceptance Testing, KM System Deployment Issues, User Training, Post
implementation. 08
05 Knowledge Transfer and Sharing:
Transfer Methods, Role of the Internet, Knowledge Transfer in e -world, KM System, Tools, Neural
Network, Asso ciation Rules, Classification Trees, and Data Mining. Business Intelligence, Decision
Making Architecture, Data Management, Knowledge Management Protocols, Managing Knowledge
Workers. 06
06 Knowledge Management in Manufacturing:
How to foster innovation within own organizations - policy adoption of new 08 University of Mumbai,
ME (Mechanical) Manufacturing Systems Engineering, Rev 2016 20 management methods, to actual
innovation or to ICT use, organizational responsiveness, innovation, competency and effi ciency
(RICE), knowledge sharing, utilization and its evaluation, Knowledge value chain, illustrative case
studies in manufacturing. 06

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum T wo
Modules) and the other is either a class test or assignment on live problems or course project.

Page 26

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References:
1. Elias. M. Award & Hassan M. Ghaziri, ―Knowledge Management‖, Pearson Educ ation 2003.
2. Guus Schreiber, Hans Akkermans, AnjoAnjewierden, Robert de Hoog, Nigel Shadbolt, Walter
Van de Velde and Bob Wielinga, ―Knowledge Engineering and Management‖, Universities Press,
2001.
3. C. W. Holsapple, ―Handbooks on Knowledge Management‖, Inter national Handbooks on
Information Systems, Vol 1 and 2, 2003.
4. Davenport, Thomas H. &Prusak, Laurence, ―Working Knowledge: How Organizations Manage
What They Know‖, Harvard Business School Press.
5. Nonake, Ikujiro& Takeuchi, Hirotaka, ―The Knowledge -Creating Company: How Japanese
Companies Create the Dynamics of Innovation‖, 2010.

Page 27

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEPE1023 Micro and Nano Manufacturing 03

Objectives:
1. To give awareness of different techniques used in micro and nano manufacturing.
2. To give in-depth idea of the conventional techniques used in micro manufacturing.
3. To introduce Non ‐conventional micro ‐nano manufacturing and finishing approaches.
4. To introduce Micro and Nanofabrication Techniques and other processing routes in Micro and
nano manuf acturing.
5. To know different techniques used in Micro Joining and the metrology tools in micro and nano
manufacturing.

Outcomes: On completion of the course, learner will be able to:
1. Get an awareness of different techniques used in micro and nano manufacturing.
2. Get in -depth idea of the conventional techniques used in micro manufacturing.
3. Become aware about non -conventional micro -nano manufacturing and finishing approaches.
4. Get awareness on micro and nano finishing processes.
5. Understand micro and n anofabrication techniques and other processing routes in micro and nano
manufacturing.
6. Know about different techniques used in micro joining and the metrology tools in micro and
nano manufacturing.

Module Detailed Contents Hrs.
01 Introduction to Precision engineering:
Macro milling and micro drilling, Micro -electromechanical systems – merits and applications, Micro
phenomenon in Electro -photography – applications. Introduction to Precision engineering, macro
milling and micro drilling, Micro -elect romechanical systems – merits and applications, Micro
phenomenon in Electro -photography – applications, Introduction to Bulk micromachining, Surface
micromachining - steps, Micro instrumentation – applications, Micro Mechatronics, Nanofinishing –
finishing operations. Laser technology in micro manufacturing - Practical Lasers, application of
technology fundamentals. Introduction to Micro -energy and chemical system (MECS), Space Micro -
propulsion, e -Beam Nanolithography – important techniques, Introduction to N anotechnology, Carbon
Nano -tubes – properties and structures, Molecular Logic Gates and Nano level Biosensors –
applications. 06
02 Introduction to mechanical micromachining:
Micro drilling – process, tools and applications. Micro turning - process, tools and applications,
Diamond Micro turning – process, tools and applications. Micro milling and Micro grinding – process,
tools and applications. Micro extrusion - process and applications. micro bending with Laser. Nano -
Plastic forming and Roller Imprinting. 06
03 Introduction to Non ‐conventional micro ‐nano manufacturing:
Process, principle and applications – Abrasive Jet Micro Machining, WAJMM. Micro EDM, Micro
WEDM, Micro EBM – Process principle, description and applications. Micro ECM, Micro LBM -
Process principle, description and applications. Focused ion beams - Principle and applications. 07
04 Introduction to Micro and Nano Finishing Processes:
Magnetorheological Finishing (MRF) processes, Magnetorheological abrasive flow finishing processes
(MRAFF) – process principle and applications. Force analysis of MRAFF process, Magnetorheological
Jet finishing processes. Working principle and polishing performance of MR Jet Machine.Elastic
Emission Machining (EEM) – machine description, applications. Ion Beam Machining (IBM) –
principle, mechanism of material removal, applications. Chemical Mechanical Polishing (CMP) –
Schematic diagram, principle and applications. 08
05 Introduction to Micro Fabrication: Basics, flowchart, basic chip making processes.
Introd uction to Nanofabrication: Nanofabrication using soft lithography – principle, applications –
Examples (Field Effect Transistor, Elastic Stamp) Manipulative techniques – process principle,
applications. Introduction to Carbon nano materials – CN Tubes CN T ubes – properties and
applications CN Tube Transistors – Description only Diamond - Properties and applications, CVD
Diamond Technology LIGA Process. 08
06 Laser Micro welding:
Laser Micro welding – description and applications, Defects Electron Beam Micro -welding –
description and applications Introduction to micro and nano measurement, defining the scale,
Uncertainty Scanning Electron Microscopy – description, principle Scannin g White -light
Interferometry – Principle and application Optical Microscopy – description, application Scanning
Probe Microscopy, scanning tunneling microscopy description, application Confocal Microscopy -
description, application Introduction to On -Mach ine Metrology. 07

Page 28

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theor y Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3 ).
4. Only Four questions need to be solved.

References:
1. Mark. J. Jackson, Micro and Nano -manufacturing, Springer, 2006.
2. Mark. J. Jackson, Micro -fabrication and Nano -manufacturing - Pulsed water drop micromachining
CRC Press 2006.
3. NitaigourPremchandMahalik , Micro -manufacturing and Nanotechnology, 2006.
4. V. K. Jain, Micro -manufacturing Processes, CRC Press, 2012.

Page 29

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE1011 Product Life Cycle Management 03


Objectives:
1. To familiarize the students with the need, benefits and components of PLM.
2. To acquaint students with Product Data Management & PLM strategies.
3. To give insights into new product development program and guidelines for designing and
developing a product.
4. To familiarize the students with Virtual Product Develop ment.
Outcomes: On completion of the course, learner will be able to:
1. Gain knowledge about phases of PLM, PLM strategies and methodology for PLM feasibility study
and PDM implementation.
2. Illustrate various approaches and techniques for designing and develo ping products.
3. Apply product engineering guidelines / thumb rules in designing products for moulding,
machining, sheet metal working etc.
4. Acquire knowledge in applying virtual product development tools for components, machining and
manufacturing plant.

Module Detailed Contents Hrs.
01 Introduction to Product Lifecycle Management (PLM): Product Lifecycle Management (PLM),
Need for PLM, Product Lifecycle Phases, Opportunities of Globalization, Pre -PLM Environment, PLM
Paradigm, Importance & Benefits of PL M, Widespread Impact of PLM, Focus and Application, A
PLM Project, Starting the PLM Initiative, PLM Applications.
PLM Strategies: Industrial strategies, Strategy elements, its identification, selection and
implementation, Developing PLM Vision and PLM Stra tegy, Change management for PLM. 07
02 Product Design:
Product Design and Development Process, Engineering Design, Organization and Decomposition in
Product Design, Typologies of Design Process Models, Reference Model, Product Design in the
Context of the Product Development Process, Relation with the Development Process Planning Phase,
Relation with the Post design Planning Phase, Methodological Evolution in Product Design,
Concurrent Engineering, Characteristic Features of Concurrent Engineering, Concurr ent Engineering
and Life Cycle Approach, New Product Development (NPD) and Strategies, Product Configuration
and Variant Management, The Design for X System, Objective Properties and Design for X Tools,
Choice of Design for X Tools and their use in the Des ign Process. 07
03 Product Data Management (PDM):
Product and Product Data, PDM systems and importance, Components of PDM, Reason for
implementing a PDM system, financial justification of PDM, barriers to PDM implementation. 07
04 Virtual Product Development Tools:
For components, machines, and manufacturing plants, 3D CAD systems and realistic rendering
techniques, Digital mock -up, Model building, Model analysis, Modeling and simulations in Product
Design, Examples/Case studies. 07
05 Integration of Environmental Aspects in Product Design:
Sustainable Development, Design for Environment, Need for Life Cycle Environmental Strategies,
Useful Life Extension Strategies, End -of-Life Strategies, Introduction of Environmental Strategies into
the Design Process, Life Cycle Environmental Strategies and Considerations for Product Design. 07
06 Life Cycle Assessment and Life Cycle Cost Analysis:
Properties, and Framework of LCA, Phases of LCA in ISO Standards, Fields of Application and
Limitations of Life C ycle Assessment, Cost Analysis and the Life Cycle Approach, General
Framework for LCCA, Evolution of Models for Product Life Cycle Cost Analysis. 07

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.




Page 30

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
pape rs of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References:
1. John Stark, ―Product Lifecycle Management: Paradigm for 21st Cent ury Product Realisation‖,
Springer -Verlag, 2004. ISBN: 1852338105.
2. Fabio Giudice, Guido La Rosa, AntoninoRisitano, ―Product Design for the environment -A life
cycle approach‖, Taylor & Francis 2006, ISBN: 0849327229.
3. SaaksvuoriAntti, ImmonenAnselmie, ―Produ ct Life Cycle Management‖, Springer, Dreamtech,
ISBN: 3540257314.
4. Michael Grieve, ―Product Lifecycle Management: Driving the next generation of lean thinking‖,
Tata McGraw Hill, 2006, ISBN: 0070636265.

Page 31

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE1012 Reliability Engineering 03

Objectives:
1. To familiarize the students with various aspects of probability theory.
2. To acquaint the students with reliability and its concepts.
3. To introduce the students to methods of estimating the system reliability of simple and complex
systems.
4. To understand the various aspects of Maintainability, Availability and FMEA procedure.
Outcomes: On completion of the course, learner will be able to:
1. Apply the concept of Probability to engineering problems.
2. Apply various reliabilit y concepts to calculate different reliability parameters.
3. Estimate the system reliability of simple and complex systems.
4. Carry out a Failure Mode Effect and Criticality Analysis.

Module Detailed Contents Hrs.
01 Probability theory: Standard definitions and concepts; Conditional Probability, Baye‘s Theorem.
Probability Distributions: Central tendency and Dispersion; Binomial, Normal, Poisson, Weibull,
Exponential, relations between them and their significance.
Measures of Dispersio n: Mean, Median, Mode, Range, Mean Deviation, Standard Deviation,
Variance, Skewness and Kurtosis. 06
02 Reliability Concepts: Reliability definitions, Importance of Reliability, Quality Assurance and
Reliability, Bath Tub Curve.
Failure Data Analysis: Hazard rate, failure density, Failure Rate, Mean Time to Failure (MTTF),
MTBF, Reliability Functions.
Reliability Hazard Models: Constant Failure Rate, linearly increasing, Time Dependent Failure Rate,
Weibull Model. Distribution functions and reliability analysis. 08
03 System Reliability:
System Configurations: Series, parallel, mixed configuration, k out of n structure, Complex systems. 06
04 Reliability Improvement:
Redundancy Techniques: Element redundancy, Unit redundancy, Standby redundancies. Mar kov
analysis. System Reliability Analysis – Enumeration method, Cut -set method, Success Path method,
Decomposition method. 08
05 Maintainability and Availability:
System downtime, Design for Maintainability: Maintenance requirements, Design methods: Fault
Isolation and self -diagnostics, Parts standardization and Interchangeability, Modularization and
Accessibility, Repair Vs Replacement. Availability – qualitative aspects. 08
06 Failure Mode, Effects and Criticality Analysis:
Failure mode effects analysis, severity/criticality analysis, FMECA examples. Fault tree construction,
basic symbols, development of functional reliability block diagram, Fau1t tree analysis and Event tree
Analysis. 06

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 8 0% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six questi on.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.



Page 32

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 References:
1. L.S. Srinath, ―R eliability Engineering‖, Affiliated East -Wast Press (P) Ltd., 1985.
2. Charles E. Ebeling, ―Reliability and Maintainability Engineering‖, Tata McGraw Hill.
3. B.S. Dhillion, C. Singh, ―Engineering Reliability‖, John Wiley & Sons, 1980.
4. P.D.T. Conor, ―Practical R eliability Engg.‖, John Wiley & Sons, 1985.
5. K.C. Kapur, L.R. Lamberson, ―Reliability in Engineering Design‖, John Wiley & Sons.
6. Murray R. Spiegel, ―Probability and Statistics‖, Tata McGraw -Hill Publishing Co. Ltd.


Page 33

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 Course Code Course Name Credits
MSEIE1013 Management Information System 03

Objectives:
1. The course is blend of Management and Technical field.
2. Discuss the roles played by information technology in today‘s business and define various
technology architectures on which information systems are built.
3. Define and analyze typical functional information systems and identify how they meet the needs of
the firm to deliver efficiency and competitive advantage.
4. Identify the basic steps in systems development.
Outcomes: On completion of the course, l earner will be able to:
1. Explain how information systems Transform Business.
2. Identify the impact information systems have on an organization.
3. Describe IT infrastructure and its components and its current trend.
4. Understand the principal tools and technologie s for accessing information from databases to
improve business performance and decision making.
5. Identify the types of systems used for enterprise -wide knowledge management and how they
provide value for businesses.

Module Detailed Contents Hrs.
01 Introduction to Information Systems (IS):
Computer Based Information Systems, Impact of IT on organizations, Importance of IS to Society.
Organizational Strategy, Competitive Advantages and IS. 06
02 Data and Knowledge Management:
Database Approach, Big Data, Data warehouse and Data Marts, Knowledge Management. Business
intelligence (BI): Managers and Decision Making, BI for Data analysis and Presenting Results 08
03 Ethical issues and Privacy:
Information Security. Threat to IS, and Security Controls 06
04 Social Computing (SC):
Web 2.0 and 3.0, SC in business -shopping, Marketing, Operational and Analytic CRM, E -business and
E-commerce – B2B B2C. Mobile commerce. 08
05 Computer Networks Wired and Wireless technology, Pervasive computing, Cloud computin g model. 08
06 Information System within Organization:
Transaction Processing Systems, Functional Area Information System, ERP and ERP support of
Business Process. Acquiring Information Systems and Applications: Various System development life
cycle models. 06

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References:
1. Kelly Rainer, Brad Prince, Management Information Systems, Wiley.
2. K.C. Laudon and J.P. Laudon, Management Information Systems: Managing the Digital Firm, 10th
Ed., Prentice Hall, 2007.
3. D. Boddy, A. Boon stra, Managing Information Systems: Strategy and Organization, Prentice Hall,
2008.

Page 34

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 Course Code Course Name Credits
MSEIE1014 Design of Experiments 03


Objectives:
1. To understand the issues and principles of Design of Experiments (DOE).
2. To list the guidelines for designing experiments.
3. To become familiar with methodologies that can be used in conjunction with experimental designs
for robustness and optimization.
Outcomes: On completion of the course, learner will be able to:
1. Plan data collection, to turn data into information and to make decisions that lead to appropriate
action.
2. Apply the methods taught to real life situations.
3. Plan, analyze, and interpret the results of experiments.

Module Detailed Contents Hrs.
01 Introduction:
Strategy of Experimentation, Typical Applications of Experimental Design, Guidelines for Designing
Experiments, Response Surface Methodology. 06
02 Fitting Regression Models:
Linear Regression Models, Estimation of the Parameters in Linear Regression Models, Hypothesis
Testing in Multiple Regression, Confidence Intervals in Multiple Regression, Prediction of new
response observation, Regression model diagnostics, Testing for lack of fit. 08
03 Two -Level Factorial Designs and Analysis:
The 22 Design, The 23 Design, General 2k Design, a Single Replicate of the 2k Design, Addition of
Center Points to the 2k Design, Blocking in the 2k Factorial Design, Split -Plot Designs. 08
04 Two -Level Fractional Factorial Designs and Analysis:
One-Half Fraction of the 2k Design, One -Quarter Fraction of the 2k Design, General 2k-p Fractional
Factorial Design, Resolution III Designs, Resolution IV and V Designs, Fractional Factorial Split -Plot
Designs . 08
05 Conducting Tests:
Testing Logistics, Statistical aspects of conducting tests, Characteristics of good and bad data sets,
Example experiments, Attribute vs Variable data sets. 06
06 Taguchi Approach:
Crossed Array Designs and Signal -to-Noise Ratios, Analysis Methods, Robust design examples 06

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.









Page 35

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 References:
1. Raymond H. Mayers, Douglas C. Montgomery, Christine M. Anderson -Cook, Response Surface
Methodology: Process and Product Optimization using Designed Experiment, 3rd edition, John
Wiley & Sons, New York, 2001.
2. D. C. Montgomery, Design and Analysis of Experiments, 5th edition, John Wiley & Sons, New
York, 2001.
3. George E. P. Box, J. Stuart Hunter, William G. Hunter, Statics for Experimenters: Design,
Innovation and Discovery, 2nd Ed. Wiley.
4. W. J. Dimond, Practical Experiment Designs for E ngineers and Scientists, John Wiley and Sons
Inc., ISBN: 0 -471-39054 -2.
5. A. M. Dean, and D. T. Voss, Design and Analysis of Experiments (Springer text in Statistics),
Springer.

Page 36

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 Course Code Course Name Credits
MSEIE1015 Operations Research 03


Objectives:
1. Formulate a real -world problem as a mathematical programming model.
2. Understand the mathematical tools that are needed to solve optimization problems.
3. Use mathematical software to solve the proposed models.

Outcomes: On completion of the cour se, learner will be able to:
1. Understand the theoretical workings of the simplex method, the relationship between a linear
program and its dual, including strong duality and complementary slackness.
2. Perform sensitivity analysis to determine the direction an d magnitude of change of a model‘s
optimal solution as the data change.
3. Solve specialized linear programming problems like the transportation and assignment problems,
solve network models like the shortest path, minimum spanning tree, and maximum flow
problems.
4. Understand the applications of integer programming and a queuing model and compute important
performance measures.

Module Detailed Contents Hrs.
01 Introduction to Operations Research: Introduction, Structure of the Mathematical Model,
Limitations of Operations Research
Linear Programming: Introduction, Linear Programming Problem, Requirements of LPP,
Mathematical Formulation of LPP, Graphical method, Simplex Method Penalty Cost Method or Big
M-method, Two Phase Method, Revised simplex method.
Duality: Primal – Dual construction, Symmetric and Asymmetric Dual, Weak Duality Theorem,
Complimentary Slackness Theorem, Main Duality Theorem, Dual Simplex Method, Sensitivity
Analysis
Transporta tion Problem: Formulation, solution, unbalanced Transportation problem. Finding basic
feasible solutions – Northwest corner rule, least cost method and Vogel‘s approximation method.
Optimality test: the stepping stone method and MODI method.
Assignment Pro blem: Introduction, Mathematical Formulation of the Problem, Hungarian Method
Algorithm, Processing of n Jobs Through Two Machines and m Machines, Graphical Method of Two
Jobs m Machines Problem Routing Problem, Travelling Salesman Problem Integer Programm ing
Problem: Introduction, Types of Integer Programming Problems: Gomory‘s cutting plane Algorithm,
Branch and Bound Technique. Introduction to Decomposition algorithms. 08
02 Queuing models:
Queuing systems and structures, single server and multi -server models, Poisson input, exponential
service, constant rate service, finite and infinite population. 06
03 Simulation:
Introduction, Methodology of Simulation, Basic Concepts, Simulation Procedure, Application of
Simulation Monte -Carlo Method: Introduction, Monte -Carlo Simulation, Applications of Simulation,
Advantages of Simulation, Limitations of Simulation. 06
04 Dynamic programming:
Characteristics of dynamic programming. Dynamic programming approach for Priority Management
employment smoothening, capit al budgeting, Stage Coach/Shortest Path, cargo loading and Reliability
problems. 07
05 Game Theory:
Competitive games, rectangular game, saddle point, minimax (maximin) method of optimal strategies,
value of the game. Solution of games with saddle points, dominance principle. Rectangular games
without saddle point – mixed strategy for 2 X 2 games. 08
06 Inventory Models:
Classical EOQ Models, EOQ Model with Price Breaks, EOQ with Shortage, Probabilistic EOQ Model. 07

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.


Page 37

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 End Semester Theory Examination:
Some guidelines for setting up the q uestion paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comp rise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

Reference s:
1. Taha, H.A. "Operations Research - An Introduction", Prentice Hall, (7th Edition), 2002.
2. Ravindran, A, Phillips, D. T and Solberg, J. J. "Operations Research: Principles and Practice",
John Willey and Sons, 2nd Edition, 2009.
3. Hiller, F. S. and Lieberma nn, G. J. "Introduction to Operations Research", Tata McGraw Hill,
2002.
4. Operations Research, S. D. Sharma, KedarNath Ram Nath -Meerut.
5. Operations Research, KantiSwarup, P. K. Gupta and Man Mohan, Sultan Chand & Sons.

Page 38

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 Course Code Course Name Credits
MSEIE1016 Cyber Security and Laws 03


Objectives:
1. To understand and identify different types cybercrime and cyber law.
2. To recognized Indian IT Act 2008 and its latest amendments.
3. To learn various types of security standards compliances.
Outcomes: On completion of the course, learner will be able to:
1. Understand the concept of cybercrime and its effect on outside world.
2. Interpret and apply IT law in various legal issues.
3. Distinguish different aspects of cyber law.
4. Apply Information Security Standards co mpliance during software design and development.

Module Detailed Contents Hrs.
01 Introduction to Cybercrime:
Cybercrime definition and origins of the world, Cybercrime and information security, Classifications
of cybercrime, Cybercrime and the Indian ITA 2000, A global Perspective on cybercrimes. 06
02 Cyber offenses & Cybercrime:
How criminal plan the attacks, Social Engg, Cyber stalking, Cyber café and Cybercrimes, Botnets,
Attack vector, Cloud computing, Proliferation of Mobile and Wireless Devices, Trends in Mobility,
Credit Card Frauds in Mobile and Wireless Computing Era, Security Challenges Posed by Mobile
Devices, Registry Settings for Mobile Devices, Authentication Service Security, Attacks on
Mobile/Cell Phones, Mobile Devices: Security Implications for Organizations, Organizational
Measures for Handling Mobile, Devices -Related Security Issues, Organizational Security Policies and
Measures in Mobile Computing Era, Laptops 08
03 Tools and Methods Used in Cyberline:
Phishing, Password Cracking, Keyloggers and Spywares, Virus and Worms, Steganography, DoS and
DDoS Attacks, SQL Injection, Buffer Over Flow, Attacks on Wireless Networks, Phishing, Identity
Theft (ID Theft). 06
04 The Concept of Cyberspace:
E-Commerce , The Contract Aspects in Cyber Law ,The Security Aspect of Cyber Law, The
Intellectual Property Aspect in Cyber Law, The Evidence Aspect in Cyber Law, The Criminal Aspect
in Cyber Law , Global Trends in Cyber Law , Legal Framework for Electronic Data Interchange Law
Relating to Electronic Banking , The Need for an Indian Cyber Law. 08
05 Indian IT Act.:
Cyber Crime and Criminal Justice: Penalties, Adjudication and Appeals Under the IT
Act, 2000, IT Act. 2008 and its Amendments. 08
06 Information Security Standard compliances:
SOX, GLBA, HIPAA, ISO, FISMA, NERC, PCI. 06

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of en d semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.




Page 39

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 References:
1. Nina Godbole, SunitBelapure, "Cyber Security‖, Wiley India, New Delhi .
2. Suresh T. Vishwanathan, ―The Indian Cyber Law‖, Bharat Law House New Delhi.
3. The Information Technology Act, 2000; Bare Act - Professional Book Publishers, New Delhi.
4. Advocate Prashant Mali, ―Cyber Law & Cyber Crimes‖, Snow White Publications, Mumbai.
5. Nina Godbole, Information Systems Security‖, Wiley India, New Delhi.
6. Kennetch J. Knapp, Cyber Security &Global Information Assurance Information Science
Publishing.
7. William Stallings, Cryptography and Network Security, Pearson Publication.
8. Websites for more in formation is available on: The Information Technology ACT, 2008 - TIFR:
https://www.tifrh.res.in.
9. Website for more information - A Compliance Primer for IT professional :
https://www.sans.org/reading -room/whitepapers/compliance/compliance -primer -professiona ls-
33538.

Page 40

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE1017 Disaster Management and Mitigation Measures 03


Objectives:
1. To understand physics and various types of disaster occurring around the world.
2. To identify extent and damaging capacity of a disaster.
3. To study and understand the means of losses and methods to overcome /minimize it.
4. To understand role of individual and various organization during and after disaster.
5. To understand application of GIS in the field of disaster management.
6. To understand the emer gency government response structures before, during and after disaster.
Outcomes: On completion of the course, learner will be able to:
1. Get to know natural as well as manmade disaster and their extent and possible effects on the
economy.
2. Plan of national i mportance structures based upon the previous history.
3. Get acquainted with government policies, acts and various organizational structure associated with
an emergency.
4. Get to know the simple do‘s and don‘ts in such extreme events and act accordingly.

Module Detailed Contents Hrs.
01 Introduction:
Definition of Disaster, hazard, global and Indian scenario, general perspective, importance of study in
human life, Direct and indirect effects of disasters, long term effects of disasters. Introduction to gl obal
warming and climate change. 06
02 Natural Disaster and Manmade disasters:
Natural Disaster: Meaning and nature of natural disaster, Flood, Flash flood, drought, cloud burst,
Earthquake, Landslides, Avalanches, Volcanic eruptions, Mudflow, Cyclone, Storm, Storm Surge,
climate change, global warming, sea level rise, ozone depletion
Manmade Disaste rs: Chemical, Industrial, Nuclear and Fire Hazards. Role of growing population and
subsequent industrialization, urbanization and changing lifestyle of human beings in frequent
occurrences of manmade disasters. 08
03 Disaster Management, Policy and Admini stration :
Disaster management: meaning, concept, importance, objective of disaster management policy,
disaster risks in India, Paradigm shift in disaster management.
Policy and administration: Importance and principles of disaster management policies, com mand and
coordination of in disaster management, rescue operations -how to start with and how to proceed in due
course of time, study of flowchart showing the entire process. 06
04 Institutional Framework for Disaster Management in India:
Importance of pub lic awareness, Preparation and execution of emergency management program. Scope
and responsibilities of National Institute of Disaster Management (NIDM) and National disaster
management authority (NDMA) in India. Methods and measures to avoid disasters, Ma nagement of
casualties, set up of emergency facilities, importance of effective communication amongst different
agencies in such situations, Use of Internet and softwares for effective disaster management,
Applications of GIS, Remote sensing and GPS in thi s regard. 08
05 Financing Relief Measures:
Ways to raise finance for relief expenditure, role of government agencies and NGO‘s in this process,
Legal aspects related to finance raising as well as overall management of disasters. Various NGO‘s and
the works they have carried out in the past on the occurrence of various disasters, Ways to approach
these teams, International relief aid agencies and their role in extreme events. 08
06 Preventive and Mitigation Measures:
Pre-disaster, during disaster and p ost-disaster measures in some events in general.
Structural mapping: Risk mapping, assessment and analysis, sea walls and embankments, Bio shield,
shelters, early warning and communication,
Non Structural Mitigation: Community based disaster preparedness, risk transfer and risk financing,
capacity development and training, awareness and education, contingency plans.
Do‘s and don‘ts in case of disasters and effective implementation of relief aids. 06

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

Page 41

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 8 0% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six questi on.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References:
1. ‗Disaster Management‘ by Harsh K. Gupta, Universities Press Publications.
2. ‗Disaster Management: An Appraisal of Institutional Mechanisms in India‘ by O. S. Dagur,
published by Centre for land warfare studies, New Delhi, 2011.
3. ‗Introduction to International Disaster Management‘ by Damon Copolla, Butterworth Heinemann
Elsevier Publications.
4. ‗Disaster Management Handbook‘ by Jack Pinkowski, CRC Press Taylor and Francis group.
5. ‗Disaster management & rehabilitation‘ by Rajdeep Dasgu pta, Mittal Publications, New Delhi.
6. ‗Natural Hazards and Disaster Management, Vulnerability and Mitigation – R B Singh, Rawat
Publications
7. Concepts and Techniques of GIS – C. P. Lo Albert, K.W. Yonng – Prentice Hall (India)
Publications.
(Learners are exp ected to refer reports published at national and International level and updated
information available on authentic web sites)

Page 42

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE1018 Energy Audit and Management 03


Objectives:
1. To understand the importance energy security for sustainable development and the fundamentals of
energy conservation.
2. To introduce performance evaluation criteria of various electrical and thermal installations to
facilitate the energy management.
3. To relate the data collected during performance evaluation of systems for identification of energy
saving opportunities.
Outcomes: On completion of the course, learner will be able to:
1. To identify and describe present state of energy security and its impo rtance.
2. To identify and describe the basic principles and methodologies adopted in energy audit of an
utility.
3. To describe the energy performance evaluation of some common electrical installations and
identify the energy saving opportunities.
4. To describe t he energy performance evaluation of some common thermal installations and identify
the energy saving opportunities.
5. To analyze the data collected during performance evaluation and recommend energy saving
measures.
Module Detailed Contents Hrs.
01 Energy Scenario:
Present Energy Scenario, Energy Pricing, Energy Sector Reforms, Energy Security, Energy
Conservation and its Importance, Energy Conservation Act -2001 and its Features, Basics of Energy
and its various forms, Material and Energy balance. 06
02 Energy Audit Principles:
Definition, Energy audit - need, Types of energy audit, Energy management (audit) approach -
understanding energy costs, Bench marking, Energy performance, Matching energy use to requirement,
Maximizing system efficiencies, Optimizing the input energy requirements, Fuel and energy
substitution. Elements of monitoring& targeting; Energy audit Instruments; Data and information -
analysis.
Financial analysis techniques: Simple payback period, NPV, Return on investment (ROI), Internal rate
of return (IRR). 08
03 Energy Management and Energy Conservation in Electrical System : Electricity billing, Electrical
load management and maximum demand Control, Power factor improvement, Energy efficient
equipment and appliances, star ratings.
Energy efficiency measures in lighting system, lighting control: Occupancy sensors, daylight
integration, and use of intelligent controllers. Energy conservation opportunities in: water pumps,
industrial drives, induction motors, motor retrofitting, soft starters, variable speed drives. 06
04 Energy Management and Energy Conservation in Thermal Systems:
Review of different thermal loads; Energy conservation opportunities in: Steam distribution system,
Assessment of steam distribut ion losses, Steam leakages, Steam trapping, Condensate and flash steam
recovery system.
General fuel economy measures in Boilers and furnaces, Waste heat recovery, use of insulation - types
and application. HVAC system: Coefficient of performance, Capacity , factors affecting Refrigeration
and Air Conditioning system performance and savings opportunities. 08
05 Energy Performance Assessment:
On site Performance evaluation techniques, Case studies based on: Motors and variable speed drive,
pumps, HVAC system calculations; Lighting System: Installed Load Efficacy Ratio (ILER) method,
Financial Analysis. 08
06 Energy conservation in Buildings:
Energy Conservation Building Codes (ECBC), Green Building, LEED rating, Application of Non -
Conventional and Renewable Energy Sources. 06

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

Page 43

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture ho urs as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than modu le 3).
4. Only Four questions need to be solved.

References:
1. Handbook of Electrical Installation Practice, Geofry Stokes, Blackwell Science.
2. Designing with light: Lighting Handbook, By Anil Valia, Lighting System.
3. Energy Management Handbook, By W.C. Turner, John Wiley and Sons.
4. Handbook on Energy Audits and Management, edited by A. K. Tyagi, Tata Energy Research
Institute (TERI).
5. Energy Management Principles, C.B.Smith, Pergamon Press.
6. Energy Conservation Guidebook, Dale R. Patrick, S. Fardo, Ray E. R ichardson, Fairmont Press.
7. Handbook of Energy Audits, Albert Thumann, W. J. Younger, T. Niehus, CRC Press.
8. www.energymanagertraining.com
9. www.bee -india.nic.in

Page 44

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEL101 Computer Integrated Manufacturing Systems Lab 01


Module Detailed Contents Lab.
Sessions
01 Case study presentation /Actual Visits/Presentation on below topic - Operation, Control and
Programming of various computer controlled machines in the FMS such as CNC machine tools,
Automated Storage/Retrieval (AS/RS) systems, Robots, automated assembly station, etc. 06
02 Simulation and performance analysis of the FMS, parts flow control on Assembly station. 03
03 Study experiments on Integration aspects in computer integrated manufacturing environment. 02
04 Importance of Artificial Intelligence. 01
05 Machine vision based quality control 01


Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by pair of internal and
external examiners


Page 45

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSESBL101 Advanced Manufacturing Lab 02


Module Detailed Contents Lab.
Sessions
01 Machining experiments to be conducted on the Vertical Machining Center that include Step turning,
Taper turning, Threading and Grooving 03
02 Machining experiments to be conducted on the Vertical Machining Center that include Engraving,
Mirroring, Rotation, Circular pocketing and Re ctangular pocketing. 03
03 Design and manufacture of a composite job, highlighting an industrial application. 02
04 Manufacturing an industrial application component, using Selective Laser Sintering (SLS) technique. 02
05 Manufacturing an industrial application component, using Stereo lithography (SLA) technique. 02
06 Manufacturing an industrial application component, using Fused Deposition Modeling (FDM)
technique. 01

Assessment:
End Semester Examination: Practical/Oral examination is to be cond ucted by pair of internal and
external examiners


































Page 46

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 Course Code Course Name Credits
MSEC201 Industrial Automation 03


Objectives:
1. To acquaint with basic concepts of industrial automation involving pneumatic and hydraulic
controls.
2. To familiarize with the elements of electro -pneumatic interface with control systems.
3. To learn about programmable logic controller.
4. To know the role of robotics in Automation.
Outcomes: On completion of the course, learner will be able to:
1. Students shall be able to understand the working of automation systems and shall acquire the
insight to build the automation systems.
2. Illustrates the use of PLC in Automation.

Module Detailed Contents Hrs.
01 Introduction to Automation:
Need of Automation, Automation Principles and Strategies, Elements of Automated system, Levels of
Automation, Automation in manufacturing system, Advanced automation function, Arguments for and
against automation (with case studies). 03
02 Hardware components for Automation:
Sensors - Displacement, position and Proximity Sensors, Velocity and Motion Sensors, Force and Fluid
Pressure Sensors, Liquid level and Flow sensors, Temperature and light Sensors, Actuators - Hydraulic,
Pneumatic and ele ctric, ADC and DAC and systems concepts, time domain analysis, frequency domain
analysis, time -frequency analysis. 06
03 Industrial Circuits:
Pneumatic Control - Different types of valves and Actuators in Pneumatics, their applications and use
of their ISO symbols, Design of Pneumatic circuits using Cascade method and Shift Register Method.
(Up to 3 cylinders), Design of Electro - Pneumatic Circuits using single solenoid and double solenoid
valves; with and without grouping Hydraulic Control - Different t ypes of valves and Actuators in
Hydraulics, their applications and use of their ISO symbols, Meter in, meter out and Bleed off circuits.
Sequencing circuits, Accumulators and their types. Applications of Accumulator circuits, Problems
based on sizing and s election of Hydraulic components, Actuation technology in Hydraulic valves:
Proportional and Servo Hydraulics and Digital Hydraulics. Design of Electro - Hydraulic, circuits. 12
04 Programmable and Logic Controller:
PLC configuration and selection, PLC Basic components and their symbols Control transformers and
fuses - Switches and Indicator lamps, Relays and time delay relays PLC Programming - Fundamentals
of Ladder Programming, Ladder programming for logic gates and latching, Sequencing, counters,
timers, shift register and Master & Jump control, Data acquisition system, Data logger,
Microprocessor, Microcontroller, digital communication, digital controller, SCADA. 08
05 Control Engineering:
Design of PD, PI and PID Controllers. Frequency Response Anal ysis - Frequency domain
specifications for second order system, Nyquist plot State Space Analysis - State space representation
of systems, Controllability and Observability, Transfer function from state space matrices
Mathematical modelling of Servo system s - Armature controlled D. C. motor, Field controlled D.C.
motor. 07

Page 47

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 06 Robotics:
Automation and Robotics, Robot types, anatomy and related attributes, accuracy, repeatability
Trajectory planning, Robot control system and end effector, Sensors in robotic s, Industrial application
and future applications, Introduction to Artificial Intelligence. 06

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
5. Question paper will comprise of total six question.
6. All question carry equal marks.
7. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
8. Only Four questions need to be solved.

References :
1. Mikell P. Grover, Automation Production Systems, and Computer Integrated Manufacturing, PHI,
2011, Third Edition.
2. W. Bolton, Mechatronics, Electronic control systems in Mechanical and Electrical Engineering,
Pearson Education, 2003.
3. K. Ogata, Modern Controls Engineering, Prentice Hall of India Pvt. Ltd., New Delhi, 2005.
4. Antony Esposito, Fluid Power Systems and control , Prentice -Hall, 1988.
5. Joji P., Pneumatic Controls, Wiley India, 2011.
6. I. J. Nagrath and Gopal, Control System Engineering, New age international (P) Ltd., 2005.

Page 48

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 Course Code Course Name Credits
MSEC202 Advanced Quantitative Techniques 03

Objectives:
To equip the students with the expert knowledge and skills needed to apply the various quantitative
techniques for decision making.
Outcomes: On completion of the course, learner will be able to:
1. Explain significance of sensitivity analysis of LPP and Perform sensitivity analysis on various
parameters involved in LP model.
2. Recognize the limitations of simplex method in deriving integer solution to LPP and Employ
suitable algorithm to obtain integer solution.
3. Analyse various decision -making situations, O utline decision alternatives and Select the best
alternative.
4. Describe a real -world problem as a Non -Linear Programming Problem and Distinguish local,
global extreme points and point of inflection.
5. Explain significance of Markov Analysis to predict the sta te of a system .
Module Detailed Contents Hrs.
01 Introduction to Decision model and Quantitative techniques: Concept of decision making and
decision problem, Mathematical Model of decision problem, Concept of Optimization, Quantitative
techniques for finding optimal solutions to decision problems.
Linear Programming Problem: Mathematical Formulation. Overview o f Simplex Method.
Sensitivity Analysis.
Linear Goal programming: Formulation as Goal programming model, Optimal solution by graphical
method and simplex method. 08
02 Integer Programming Problem:
Types of Integer Programming Problems, Gomory‘s cutting plane Algorithm, Branch and Bound
Technique. 06
03 Nonlinear programming problems (NLPP):
Convex programming.
Unconstrained NLPP –Search Algorithm and Gradient method.
Constrained NLPP – Kuhn -Tucker Conditions, Geometric Programming.
Quadratic programming. 08
04 Network Optimization Models:
Shortest Path, Minimum Spanning Tree, and Maximum Flow Problems. 06
05 Decision Theory:
Decision Making under risk, under uncertainty, Decision Trees & Utility Theory, Bayesian approach in
decision making.
Decision Making under certainty, Introduction to concepts of AHP (Analytic Hierarchy Process) &
ANP (Analytic Network Process). 08
06 Markov Analysis:
Stochastic Process, Markov Process, Transition Probability Matrix, Markov Chain. 06

Page 49

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Ques tion paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to b e solved.

References :
1. Taha H.A., Operations Research - An Introduction, Prentice Hall.
2. Ravindran A., Phillips, D. T and Solberg, J. J., Operations Research: Principles and Practice, John
Willey and Sons.
3. Hiller F. S. and Liebermann G. J., Introduction t o Operations Research, Tata McGraw Hill.
4. Pradeep Prabhakar Pai, Operations Research Principles and Practice, Oxford University Press.
5. S. D. Sharma and Kedar Nath Ram Nath, Operations Research, Meerut.


Page 50

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEPE2011 Strategic Manufacturing for Sustainability 03


Objectives:
1. To get acquainted with concepts, various dimensions and significance of sustainability.
2. Acquire knowledge on emerging approaches in waste management.
3. Understand the ongoing trends and innovations in energy management.
4. Get exposure to the role of environmental management in modern business world .

Outcomes: On completion of the course, learner will be able to:
1. Identify and deal with economic, social and technological concerns in sustainable manufacturing
front.
2. Pursue eco -friendly approaches in managing various forms of waste including hazardous waste.
3. Apply environment friendly options in design and manufacturing operations to bring down carbon
foot prints.
4. Get adequate exposure to energy ef ficient initiatives and energy management.
5. Get exposure to environmental standards/legislations and develop capability in assessing
environment impact.

Module Detailed Contents Hrs.
01 Introduction:
Concepts related to sustainability and sustainable development, Green expectations and global
sustainability agenda. Confronting climate change and global warming, Environmental preservations,
wake up conferences, voice of society and green movement. 07
02 Waste Management:
Types & sources of waste, segregation &waste processing, Green processing and engineering
approaches, energy recovery, life cycle approach – cost benefits, R3&R6 cycles, methods to infuse
sustainability in early phase of product design approach, cradle to cradle approach. 07
03 Materials for Sustainability :
Energy efficient and environment friendly materials. New age materials, Materials and process
selection, Material disposal, Material for recycling, biodegradable materials, control on non -renewable
material usage, integrating su stainability concepts, Toxicity and health impact. 07
04 Design for Sustainability:
Conversion technologies, concept of Eco -innovation, sustainable loading on ecosystems, energy
conservation and energy audit, environmental analysis from raw material to disposal, product life cycle
assessment, sustainable design approach and matrices for s ustainable designs, case studies on
sustainable design. 07
05 Environment Management:
Influence of cultural, political and economic changes in transforming role of environmental
management in business world, Environmental standards & legislation, carbon foot print assessment
and carbon trading, Anti -Pollution boards, Kyoto protocol, Initiatives at national and global level,
Alternative product & process change and manufacturing practices, Environment and human health
effect hazards, mitigation management. Role of IT & communication networking. 07

Page 51

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 06 Sustainability Assessment:
Multi -Objective decision making, concept models and approaches, evolving sustainability issues in
operating strategy. Product and process sustainability and risk /benefit ass essment. Sustainability
impact assessment, corporate social responsibilities and initiatives, sustainability rating schemes, eco -
labelling and energy labelling programmes, Continuous sustainability awareness initiatives, Industrial
case students. 07

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syl labus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four question s need to be solved.

References :
1. Sustainable Development by M. K. Ghosh Roy - Ane Books Pvt. Ltd.
2. Green Management by M. Karpagam, Geetha Jaikumar - Ane Books Pvt. Ltd.
3. Essential Environmental Studies by S. P. Misra, S.N. Pandey - Sheth Publishers.
4. Design for Environment: A Guide to Sustainable Product Development by Joseph Fiksel -
McGraw -Hill Companies.
5. E books Sustainable Manufacturing by J. Paulo Davim – Wiley Publishers.
6. E book - Sustainable Manufacturing - Shaping global value creation by Gunther Se liger – Springer.

Page 52

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEPE2012 Additive Manufacturing and Rapid Prototyping 03


Objectives:
1. To familiarize with importance of Rapid Prototyping in Product Development.
2. To make students aware about latest additive manufacturing technology used in industry.
3. To make students aware about various additive manufacturing processes and material availability.
4. To enable students to understand, describe and evaluate the different post processing techniques
currently used on A dditive Manufacturing parts.
5. To make students aware about latest research in the area of additive manufacturing.

Outcomes: On completion of the course, learner will be able to:
1. Understand importance of Rapid Prototyping in product development.
2. Apply basic knowledge of additive manufacturing to decide type of additive manufacturing
process and material according components design requirement.
3. To calculate and justify the cost of a typical additive manufacturing operation including labour
costs, overhead cost s, and consumable costs.
4. Evaluate the different post processing techniques used on AM parts, including those required for
removal of support structures, improvement of surface characteristics and structural integrity.
5. Conduct research work and research wri ting in the field of additive manufacturing.

Module Detailed Contents Hrs.
01 Introduction:
Product Development Cycle and the product Life Cycle, Problems in Product Development,
Relationship between Product Development Cost and the Selling Price, Rapid prototyping need,
Classification of RP systems, advantages and limitations of RP, Applications and scope of RP,
Introduction to additive manufacturing. 08
02 Design for Additive Manufacturing:
Multiple Materials, Hybrids, Functionally Graded Materials, Composite Materials, current and future
directions; Process Modelling of AM process - Design optimization through finite -element modelling
of AM - Simulation of phase transformations - heating, melting, forming, solidification and finishing
and rheological st udies of various AM materials. 06
03 Classification of Additive Manufacturing Processes:
Seven Classes of Additive Manufacturing, Binder jetting, Directed Energy Deposition, Powder
Bed Fusion, Sheet Lamination, Material Extrusion, Material Jetting, Vat Ph oto Polymerization
Detailed discussion on latest technique available on each type of additive manufacturing processes.
Specification, working principal, material compatibility and Post processing. 08
04 Additive Manufacturing System Design:
Process selection, Material selection, labour cost involved, overhead cost calculation, consumables
cost, machine maintenance, Project Planning, Sensors used Jigs and fixtures, Thermal management,
Manufacturing Quality management. 08
05 Applications of Ad ditive Manufacturing:
Aerospace Applications, Medical applications, Art and Design applications, Energy applications,
architecture applications. 06
06 Intellectual Property Rights, IPR in Additive Manufacturing:
Case studies on Latest patents in the field of additive manufacturing, Case studies based on latest
article Published in Scopus, SCI, and ESCI indexed journal. 06

Page 53

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in na ture (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References :
1. Additive Manufacturing Technologies – Ian Gibson, David W Rosen, Brent Stucker.,
MahyarKhorasani – Springer.
2. Additive Manufacturing – Juan Pou, Antonio Riveiro and J. Paulo Davim – Elsevier.
3. Multi -dimensional Additive Manufacturing – SoshuKiriharal, Kazuhiro Nakata – Springer.
4. Additive Manufacturing Processes – SanjayKumar – Springer.
5. Polymer Based Additive Manufacturing – Declan M. Devine – Springer.
6. Materials for Additive Manufacturing – Yusheng Shi, Chunze Yan, Yan Zhou, Jiamin Wu, Yan
Wang, ShengfuYu,Ying Chen – Academic Press, Elsevier.
7. Additive Manufacturing (A Tool for Industrial Re volution 4.0) – M. Manjaiah, K. Raghavendra,
N. Balashanmugam, J. Paulo Davim – Woodhead Publishing.


Page 54

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 Course Code Course Name Credits
MSEPE2013 Manufacturing Systems Design 03


Objectives:
1. To acquaint the students with concepts of manufacturing systems engineering and design.
2. To familiarise the students with various manufacturing systems and approaches for various areas
of applications.
3. To impart knowledge in design and adoption of manufacturing systems to achieve improved
productivity and cost b enefits.
Outcomes : On completion of the course, learner will be able to:
1. Understand and appreciate the capabilities and limitations of various manufacturing systems.
2. Identify and select appropriate manufacturing systems for specific applications.
3. Design and implement appropriate model of manufacturing systems in specific contexts.
4. Cope up with the ongoing demands of the industry, specifically on the manufacturing front.
Module Detailed Contents Hrs.
01 Manufacturing system fundamentals:
Basic concepts and definition of system, system design, structural and transformational aspects of
manufacturing systems, integrated manufacturing and management systems. 04
02 Process systems for manufacturing:
Logistics planning and design, Product planning and design, Process planning and design, Layout
planning and design. 06
03 Group technology and cellular manufacturing systems:
Concepts of cellular manufacturing, comparison between cellular and traditional manufacturing, Cell
characteristics, Techniques of cellular manufacturing, Advantages and Limitations.
Cell design and cell formation techniques, processing of exceptional components in cellular
manufacturing. Evaluation of cellular manufacturing solutions, cell characteristics, Production control
activiti es in cellular manufacturing and implementation issues. 10
04 Management systems for manufacturing:
Managerial information flow, Aggregate production planning and scheduling, Inventory management,
Production control and Quality control. 08
05 Automation systems for manufacturing:
CAD, CAM, CIM, FMS, Computer integrated automation systems - concept of ghost factory and
Overview of industry 4.0. 07
06 Information system for manufacturing:
MIS (Management information systems), SIS (Strategic information systems), Parts oriented
production information systems, Online production control systems and Computer based production
management systems. 07

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on m inimum Two
Modules) and the other is either a class test or assignment on live problems or course project.



Page 55

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References :
1. Marco Garetti, Design and Management of Production Systems: Tutorials and Case Studies.
2. Wallace J. Hopp and Mark L. Spearman, Factory Physics, Waveland Press Inc. USA.
3. B. S. Nagendra Parashar, Cellular Manufacturing Systems: An Integrated Approach , PHI Learning
Pvt. Ltd.
4. Manufacturing Systems Engineering, KatsundoHitomi, Vi va Books Pvt. Ltd.

Page 56

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEPE2021 Logistics and Supply Chain Management 03


Objectives:
1. To understand the primary differences between logistics and supply chain management.
2. To understand the individual processes of supply chain management and their interrelationships
within individual companies and across the supply chain.
3. To understand the management components of supply chain management.
4. Familiarize the students with the tools and techniques used in implementing supply ch ain
management.
5. To understand how supply chain strategy can provide competitive advantage for organization.
Outcomes: On completion of the course, learner will be able to:
1. Demonstrate the functional strategy map of supply chain management.
2. Analyze the dete rminants of Supply Chain and Transportation networks design.
3. Demonstrate the need of coordination and sourcing decisions in supply chain.
4. Understand pricing, revenue management and role of IT in supply chain.
5. Understand various sustainability aspects of a supply chain.

Module Detailed Contents Hrs.
01 Introduction to LSCM: Objective, Importance, Decision Phases, Process Views.
Competitive and Supply Chain Strategies, Achieving Strategic Fit, Expanding Strategic Scope,
Challenges to Achieving and Maintaining Strategic Fit.
Supply Chain Drivers and Metrics: Financial Measures of Performance, Drivers of Supply Chain
Performance, Framework for Structuring Drivers, Facilities, Inventory, Transportation, Information,
Sourcing, Pricing.
Creating the Resp onsive Supply Chain: Product push versus demand pull, The Japanese philosophy,
The foundations of agility, A route -map to responsiveness.
Information Systems in Supply Chain: IT enabled SC, Best practices & benchmarking for SC,
towards Green SC, towards Wo rld class SCM.
Role of IT in Logistics management, the role of information in the virtual supply chain. 09
02 Network Design in the Supply Chain:
The Role of Network Design in the Supply Chain, Factors Influencing Network Design Decisions,
Framework for Network Design Decisions, Models for Facility Location and Capacity Allocation. 07
03 Designing Global Supply Chain Networks:
The Impact of Globalization on Supply Chain Networks, The Offshoring Decision: Total Cost, Risk
Management in Global Supply Chain s, Discounted Cash Flows, Evaluating Network Design Decisions
Using Decision Trees. 07
04 Coordination and Sourcing Decisions in a Supply Chain:
Lack of Supply Chain Coordination and the Bullwhip Effect, The Effect on Performance of Lack of
Coordination, Obstacles to Coordination in a Supply Chain, Managerial Levers to Achieve
Coordination, Continuous Replenishment and Vendor -Managed Inventories, Collaborative Planning,
Forecasting, and Replenishment.
The Role of Sourcing in a Supply Chain, In -House or Out source, Third - and Fourth -Party Logistics
Providers, Using Total Cost to Score and Assess Suppliers, Supplier Selection —Auctions and
Negotiations, Contracts, Risk Sharing and Supply Chain Performance, Design Collaboration, The
Procurement Process. 07

Page 57

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 05 Pricing and Revenue Management in a Supply Chain:
The Role of Pricing and Revenue Management in a Supply Chain, Pricing and Revenue Management
for Multiple Customer Segments, Pricing and Revenue Management for Perishable Assets, Pricing and
Revenue Manageme nt for Seasonal Demand, Pricing and Revenue Management for Bulk and Spot
Contracts. 06
06 Sustainable Supply Chain:
The Role of Triple Bottom Line, Key Metrics for Sustainability, Greenhouse gases and the supply
chain, Reducing the transport -intensity of supply chains, Beyond the carbon footprint, Reduce, reuse,
recycle, Sustainability and Supply Chain Drivers. 06

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In qu estion paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References :
1. Sunil Chopra, P. Meindl, Supply Chain Management, Pearson Education Asia.
2. R. P. Mohanty, S. G. Deshmukh, Essentials of Supply Chain management, Phoenix publishing
House Pvt. Ltd.
3. Martin Christopher, Logistics and Supply Chain Management, Pitman Publishing.
4. Bowon Kim, Mastering Business in Asia: Supply Chain Management, John Wiley and Sons.
5. Michael H ugos, Essentials of Supply Chain Management, John Wiley and Sons.
6. S.K. Bhattacharya, Logistics Management, Pearson Publication.
7. R.P. Mohanty, S.G. Deshmukh, Supply Chain management - Theories and Practices, Biztantra .

Page 58

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEPE2022 Machine Health Monitoring Management 03

Objectives:
3. To introduce parameters involved in machine health monitoring management.
4. To make students aware about Instrumentation and Signal Processing in machine health
monitoring management.
5. To introduce importance of pattern recognition in machine health monitoring management.
6. To impart knowledge about the application of artificial intelligence techniques in Condition
monitoring.
7. To impart knowledge about the application of Machine learning tech niques in Condition
monitoring.
Outcomes: On completion of the course, learner will be able to:
1. Understand basics of machine health monitoring management.
2. Apply basic Instrumentation and signal processing technique in machine health monitoring
management.
3. Recognize pattern in problems involved in machine health monitoring.
4. Gain knowledge about the application of artificial intelligence techniques in Condition monitoring.
5. Gain knowledge about the application of Machine learning techniques in Condition monitoring.

Module Detailed Contents Hrs.
01 Introduction to Asset Management: Digital Asset Management, Fixed Asset Management, IT Asset
Management, Enterprise Asset Management, Financial Asset Management, Infrastructure Asset
Management.
Introduction to Maintenance Strategies: Proactive Maintenance, Predictive Maintenance, Planned
Maintenance, Condition -Based Maintenance, Responsive Maintenance, Emergency Maintenance. 08
02 Introduction to Machine Health Monitoring Management: Machine failures, Maintenance
strategies, machine condition monitoring, Vibration signatures of faults in rotating and reciprocating
machines, detection and diagnosis of faults.
Fracture mechanics: LEFM, EPFM, Stress intensity factor, crack identification, crack p ropagation,
residual life, residual life determination, Airy‘s stress function, Westguard‘s solution. 08
03 Instrumentation and Signal Processing:
Types of sensors used in machine health monitoring: vibration, acoustics and noise, acoustic emission,
temp erature, ultrasonic and infrared sensors - Signal processing: basic signal and systems concepts,
time domain analysis, frequency domain analysis, time -frequency analysis. 06
04 Pattern Recognition:
Feature extraction and feature selection methods, feature reduction using PCA - discriminant functions
and decision boundaries, decision trees, maximum likelihood and nearest neighbour. Application and
case studies of machine health monitoring: Bearings, gear boxes, engines, structural health monitoring,
machine tool condition monitoring etc. 08
05 Introduction to Condition Monitoring Using Artificial Intelligence:
Approaches to Condition Monitoring, Components of Condition Monitoring, Measurement System and
Pre-processing, Feature Extraction, Statistical Features, Vibration -based Condition Monitoring,
Dissolved Gas Analysis, Artificial Intelligence Approaches, Single AI Approaches, Hybrid AI
Approaches. 06

Page 59

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 06 Introduction to Machine Learning in Conditioning monitoring:
Machine Learning Tools, Artificial Neural Network, Support Vector Machine, Extension Neural
Network, Fuzzy ARTMAP. Introduction to Incremental Learning and its Application to Condition
Monitoring. 06

Assessment:
Internal:
Assessment consists of two tests out of which; one shou ld be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References :
1. Telli Van der Lei, Paulien Herder and Ype Wijnia, Asset Management, Springer.
2. Dan B. Marghitu and Mihai DupacButterworthHeinemann, Machine Component Analysis with
MATLAB, Elsevier.
3. Juan Carlos A. Jauregui Correa and Alejandro A. Lozano Guzman, Mechanical Vibrations and
Condition Monitoring, Acade mic Press, Elsevier.
4. Hasmat Malik, NuzhatFatema and Atif Iqbal, Intelligent Data -Analytics for Condition Monitoring,
Academic Press, Elsevier.
5. Ray S. Beebe, Predictive Maintenance of Pumps Using Condition Monitoring, Elsevier Science.
6. William Bolton Newn es, Instrumentation and Control Systems, Elsevier.
7. Leonidas Deligiannidis and Hamid R. Arabnia Morgan Kaufmann, Emerging Trends in Image
Processing, Computer Vision and Pattern Recognition, Elsevier.
8. SergiosTheodoridis, AggelosPikrakis, Konstantinos Kout roumbas and DionisisCavouras,
Introduction to Pattern Recognition, Academic Press, Elsevier.
9. Lin C. and Lee G., Neural Fuzzy Systems, Prentice Hall International Inc.
10. Cornelius Leondes, Fuzzy Logic and Expert Systems Applications, Academic Press, Elsevier.

Page 60

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEPE2023 Smart Industries 03


Objectives:
To provide students with a comprehensive understanding of the smart industry concept, Industry
Revolution and Industry 4.0, key drivers and technologies for Smart Industries and Implications of
Smart Industry.

Outcomes: On completion of the course, learner will be able to:
1. Understand the basic principles behind smart industry.
2. Identify smart industry key levers and drivers.
3. Understand the supporting technologies for Smart factories.
4. Learn from leading industries and develop smart factory roadmaps.


Module Detailed Contents Hrs.
01 Introduction to Smart Industry:
Traditional Manufacturing Practices and Limitations, Industry Revolution, Introduction to Fourth
Industrial Revolution and Concept of Smart Industry, Journey of Smart Industry, Key Drivers of smart
industry/Industry 4.0, Changing Society, Product and Proce sses, Need for renovating and standardizing
production and manufacturing Industries to compete with global challenges, Smart Industry Roadmap,
Opportunities and Challenges. 06
02 Supporting Tools and Technologies for Smart Industries – Part I:
Introduction to and Use of following Technologies in Smart Industries: Industrial IOT, Sensing and
actuation, Autonomous Robots, Additive Manufacturing, Horizontal and Vertical System Integration. 06
03 Supporting Tools and Technologies for Smart Industries – Part II:
Introduction to and Use of following Technologies in Smart Industries: AI, Cloud Computing, Big
Data and advanced analytics, ICT, Block chain technology, smart grids, Cyber Physical Systems,
Augmented Reality and Virtual Reality in Sm art Factories. 10
04 Dimensions of Smart Manufacturing and Logistics:
Smart manufacturing: Smart and connected products, Smart Machines, Smart materials, smart
manufacturing processes, Smart material handling, Sustainable manufacturing and renewable energ y.
Smart Logistics: Marketing and sales, post sales service and customer relationship management,
Smart Money: Digital payment strategy in India. 10
05 Real time tracking and Machine monitoring:
Real time tracking of parts, WIP, tools, personnel and associated tools and challenges.
Purpose of machine monitoring, tools and functions involved in predictive maintenance of machines. 05
06 Smart Industry applications with case studies:
Discussion on case studies and success stories across industries who h ad developed and implemented
several smart factory solutions. 05

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

Page 61

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be prop ortional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References :
1. Handbook of Industry 4.0 and SMART Systems, Diego Galar Pascual, Pasquale Daponte and
Uday Kumar, CRC Press.
2. Implementing Industry 4.0: The Model Facto ry as the Key Enabler for the Future of
Manufacturing, Carlos Toro, Wei Wang, and Humza Akhtar, Springer Publications.
3. Smart Digital Manufacturing: A guide of digital transformation with real case studies across
industries, Rene Wolf and RaffaelloLepratti , Wiley‐VCH publications.
4. Intelligent Transportation Systems: Smart and Green Infrastructure Design, Frank Kreith,
Mechanical Engineering Series, Taylor and Francis Group.
5. The Internet of Things: Enabling Technologies, Platforms, and Use Cases, Pethuru R aj and
Anupama C. Raman, CRC Press.
6. Internet of Things, Jeeva Jose, Khanna Publishing House, Delhi.
7. Block Chain Basics, Daniel Drescher, Apress.
8. Sensors and Actuators, C.W. De Silava, CRC Press.
9. Introduction to sensors, J. Vetelino and A. Reghu, CRC Pre ss.
10. Smart Plant Factory: The Next Generation Indoor Vertical Farms, ToyokiKozai, Springer Nature
Publications.
11. Introduction to Industry 4.0 and Industrial Internet of Things, Prof. Sudip Misra, NPTEL Course,
IIT Kharagpur.
12. Smart Industry & Smart Educati on, Michael E. Auer and Reinhard Langmann – Springer
Publications.
13. Cyber physical systems in the context of Industry 4.0, IEEE International Conference on
Automation, Quality and Testing, Robotics, 2014 .

Page 62

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE2011 Project Management 03


Objectives:
1. To familiarize the students with the use of a structured methodology/approach for each and every
unique project undertaken, including utilizing project management concepts, tools and techniques.
2. To appraise the students with the project management life cycle and make them knowledgeable
about the various phases from project initiation through closure.

Outcomes: On completion of the course, learner will be able to:
1. Apply selection criteria and sele ct an appropriate project from different options.
2. Write work break down structure for a project and develop a schedule based on it.
3. Identify opportunities and threats to the project and decide an approach to deal with them
strategically.
4. Use Earned value t echnique and determine & predict status of the project.
5. Capture lessons learned during project phases and document them for future reference.

Module Detailed Contents Hrs.
01 Project Management Foundation:
Definition of a project, Project Vs Operations, Necessity of project management, Triple constraints,
Project life cycles (typical & atypical) Project phases and stage gate process. Role of project manager.
Negotiations and resolving conflicts. Project management in various organization structures. PM
knowledge areas as per Project Management Institute (PMI). 07
02 Initiating Projects:
How to get a project started, Selecting project strategically, Project selection models (Numeric /Scoring
Models and Non -numeric models), Project portfolio process, Project sponsor and creating charter,
Project proposal. Effective project team, Stages of team development & growth (forming, stor ming,
norming & performing), team dynamics. 06
03 Project Planning and Scheduling:
Work Breakdown structure (WBS) and linear responsibility chart, Interface Co -ordination and
concurrent engineering, Project cost estimation and budgeting, Top down and bott oms up budgeting,
Networking and Scheduling techniques. PERT, CPM, GANTT chart. Introduction to Project
Management Information System (PMIS). 07
04 Planning Projects:
Crashing project time, Resource loading and leveling, Goldratt's critical chain, Project
Stakeholders and Communication plan.
Risk Management in projects: Risk management planning, Risk identification and risk
register. Qualitative and quantitative risk assessment, Probability and impact matrix.
Risk response strategies for positive and negat ive risks. 08
05 Executing Projects: Planning monitoring and controlling cycle. Information needs and reporting,
engagingwith all stakeholders of the projects.Team management, communication and project meetings.
Monitoring and Controlling Projects: Earned Value Management techniques for measuring value of
work completed, Usingmilestones for measurement, change requests and scope creep. Project audit.
Project Contracting: Project procurement management, contracting and outsourcing, 07

Page 63

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 06 Project Leadership and Ethics: Introduction to project leadership, ethics in projects. Multicultural
and virtual projects.
Closing the Project: Customer acceptance, Reasons of project termination, Various types of project
terminations (Extinction, Addition, Integration, St arvation), Process of project termination, completing
a final report, doing a lessons learned analysis, acknowledging successes and failures, Project
management templates and other resources, Managing without authority, Areas of further study. 07

Assessm ent:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syl labus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four question s need to be solved.

References :
1. Jack Meredith & Samuel Mantel, Project Management: A managerial approach, Wiley India,
7thEd.
2. A Guide to the Project Management Body of Knowledge (PMBOK® Guide), 5th Ed, Project
Management Institute PA, USA.
3. Gido Clemen ts, Project Management, Cengage Learning.
4. Gopalan, Project Management, Wiley, India.
5. Dennis Lock, Project Management, Gower Publishing England, 9th Ed.

Page 64

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE2012 Finance Management 03

Objectives:
1. Overview of Indian financial system, instruments and market.
2. Basic concepts of value of money, returns and risks, corporate finance, working capital and its
management.
3. Knowledge about sources of finance, capital structure, dividend policy.

Outcomes: On completion of the cou rse, learner will be able to:
1. Understand Indian finance system and corporate finance.
2. Take investment, finance as well as dividend decisions.

Module Detailed Contents Hrs.
01 Overview of Indian Financial System: Characteristics, Components and Functions of Financial
System.
Financial Instruments: Meaning, Characteristics and Classification of Basic Financial Instruments —
Equity Shares, Preference Shares, Bonds -Debentures, Certificates of Deposit, and Treasury Bi lls.
Financial Markets: Meaning, Characteristics and Classification of Financial Markets — Capital
Market, Money Market and Foreign Currency Market.
Financial Institutions: Meaning, Characteristics and Classification of Financial Institutions —
Commercial Banks, Investment -Merchant Banks and Stock Exchanges. 08
02 Concepts of Returns and Risks: Measurement of Historical Returns and Expected Returns of a Single
Security and a Two -security Portfolio; Measurement of Historical Risk and Expected Risk of a Single
Security and a Two -security Portfolio.
Time Value of Money: Future Value of a Lump Sum, Ordinary Annuity, and Annuity Due; Present
Value of a Lump Sum, Ordinary Annuity, and Annuity Due; Continuous Compounding and
Continuous Discounting. 07
03 Overview of Corporate Finance: Objectives of Corporate Finance; Functions of Corporate Finance —
Investment Decision, Financing Decision, and Dividend Decision.
Financial Ratio Analysis : Overview of Financial Statements —Balance Sheet, Profit and Loss
Account, and Cash Flow Statement; Purpose of Financial Ratio Analysis; Liquidity Ratios; Efficiency
or Act ivity Ratios; Profitability Ratios; Capital Structure Ratios; Stock Market Ratios; Limitations of
Ratio Analysis. 06
04 Capital Budgeting: Meaning and Importance of Capital Budgeting; Inputs for Capital Budgeting
Decisions; Investment Appraisal Criterion —Accounting Rate of Return, Payback Period, Discounted
Payback Period, Net Present Value(NPV), Profitability Index, Internal Rate of Return (IRR), and
Modified Internal Rate of Return (MIRR).
Working Capital Management: Concepts of Meaning Working Capital; Importance of Working
Capital Management; Factors Affecting an Entity‘s Working Capital Needs; Estimation of Working
Capital Requirements; Management of Inventories; Management of Receivables; and Management of
Cash an d Marketable Securities. 08
05 Sources of Finance: Long Term Sources —Equity, Debt, and Hybrids; Mezzanine Finance; Sources of
Short Term Finance —Trade Credit, Bank Finance, Commercial Paper; Project Finance.
Capital Structure: Factors Affecting an Entity ‘s Capital Structure; Overview of Capital Structure
Theories and Approaches — Net Income Approach, Net Operating Income Approach; Traditional
Approach, and Modigliani -Miller Approach. Relation between Capital Structure and Corporate Value;
Concept of Optima l Capital Structure. 07

Page 65

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 06 Dividend Policy:
Meaning and Importance of Dividend Policy; Factors Affecting an Entity‘s Dividend Decision;
Overview of Dividend Policy Theories and Approaches — Gordon‘s Approach, Walter‘s Approach,
and Modigliani -Miller Approa ch. 06

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References :
1. Fundamentals of Financial Management, 13th Edition (2015) by Eugene F. Brigham and Joel F.
Houston; Publisher: Cengage Publications, New Delhi.
2. Analysis for Financial Management, 10th Edition (2013) by Robert C. Higgins; Publishers:
McGraw Hill Education, New Delhi.
3. Indian Financial System, 9th Edition (2015) by M. Y. Khan; Publisher: McGraw Hill Education,
New Delhi.
4. Financial Management, 11th Edition (2015) by I. M. Pandey; Publisher: S. Chand (G/L) &
Company Limited, New Delhi.

Page 66

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE2013 Entrepreneurship Development and
Management 03


Objectives:
1. To acquaint with entrepreneurship and management of business.
2. Understand Indian environment for entrepreneurship.
3. Idea of EDP, MSME.

Outcomes: On completion of the course, learner will be able to:
1. Understand the concept of business plan and ownerships.
2. Interpret key regulations and legal aspects of entrepreneurship in India.
3. Understand government policies for entrepreneurs.

Module Detailed Contents Hrs.
01 Overview of Entrepreneurship:
Definitions, Roles and Functions/Values of Entrepreneurship, History of Entrepreneurship
Development, Role of Entrepreneurship in the National Economy, Functions of an Entrepreneur,
Entrepreneurship and Forms of Business Ownership Role of Money and Capital Markets in
Entrepreneurial Development: Contribution of Government Agencies in Sourcing information for
Entrepreneurship. 06
02 Business Plans and Importance of Capital to Entrepreneurship:
Preliminary and Marketing Plans, Management and Personnel, Start -up Costs and Financing as well as
Projected Financial Statements, Legal Section, Insurance, Suppliers and Risks, Assumptions and
Conclusion, Capital and its Importance to th e Entrepreneur Entrepreneurship And Business
Development: Starting a New Business, Buying an Existing Business, New Product Development,
Business Growth and the Entrepreneur Law and its Relevance to Business Operations. 08
03 Women‘s Entrepreneurship Deve lopment, Social entrepreneurship -role and need, EDP cell, role of
sustainability and sustainable development for SMEs, case studies, exercises. 06
04 Indian Environment for Entrepreneurship:
Key regulations and legal aspects, MSMED Act 2006 and its implic ations, schemes and policies of the
Ministry of MSME, role and responsibilities of various government organisations, departments, banks
etc., Role of State governments in terms of infrastructure developments and support etc., Public private
partnerships, N ational Skill development Mission, Credit Guarantee Fund, PMEGP, discussions, group
exercises. etc. 08
05 Effective Management of Business:
Issues and problems faced by micro and small enterprises and effective management of M and S
enterprises (risk management, credit availability, technology innovation, supply chain management,
linkage with large industries), exercises, e -Marketing. 07
06 Achieving Success in The Small Business:
Stages of the small business life cycle, four types of firm -level growth strategies, Options – harvesting
or closing small business Critical Success factors of small business. 07



Page 67

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In qu estion paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References :
1. Poornima Charantimath, Entrepreneurship development - Small Business Enterprise, Pearson.
2. Education Robert D. Hisrich, Michael P Peters, Dean A. Shapherd, Entrepreneurship, latest
edition, The McGrawHill Company.
3. Dr. T. N. Chhabra, Entrepreneurship Development, Sun India Publications, New Delhi.
4. Dr. C. N. Prasad, Small and Medium Enterprises in Global Perspective, New century Publications,
New Delhi.
5. Vasant Desai, Entrepreneurial development and management, Himalaya Publishing House.
6. MaddhurimaLall, ShikahSahai, Entrepreneurship, Excel Books.
7. Rashmi Bansal, STAY hungry STAY foolish, CIIE, IIM Ahmedabad.
8. Law and Practice relating to Micro, Small and Medium enterprises, Taxmann Publication Ltd.
9. Kurakto, Entrepreneurship - Principles and Practices, Thomson Publication.
10. LaghuUdyogSamachar
11. www.msme.gov.in
12. www.dcmesme.gov.in
13. www.msmetraining.gov.in


Page 68

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE2014 Human Resource Management 03


Objectives:
1. To introduce the students with basic concepts, techniques and practices of the human resource
management.
2. To provide opportunity of learning Human resource management (HRM) processes, related with
the functions, and challenges in the emerging perspective of today‘s organizations.
3. To familiarize the students about the latest developme nts, trends & different aspects of HRM.
4. To acquaint the student with the importance of inter -personal & inter -group behavioral skills in an
organizational setting required for future stable engineers, leaders and managers.

Outcomes: On completion of the co urse, learner will be able to:
1. Understand the concepts, aspects, techniques and practices of the human resource management.
2. Understand the Human resource management (HRM) processes, functions, changes and challenges
in today‘s emerging organizational persp ective.
3. Gain knowledge about the latest developments and trends in HRM.
4. Apply the knowledge of behavioral skills learnt and integrate it with in inter personal and
intergroup environment emerging as future stable engineers and managers

Module Detailed Contents Hrs.
01 Introduction to HR:
Human Resource Management - Concept, Scope and Importance, Interdisciplinary Approach
Relationship with other Sciences, Competencies of HR Manager, HRM functions.
Human resource development (HRD): changing role of HRM – Human resource Planning,
Technological change, Restructuring and rightsizing, Empowerment, TQM, Managing ethical issues. 06
02 Organizational Behavior (OB):
Introduction to OB Origin, Nature and Scope of Organizational Behavior, Relevance to Organizational
Effectiveness and Contemporary issues.
Personality: Meaning and Determinants of Personality, Personality development, Personality Types,
Assessment of Personality Traits for Increasing Self Awareness.
Perception: Attitude and Value, Effect o f perception on Individual Decision making, Attitude and
Behavior.
Motivation: Theories of Motivation and their Applications for Behavioral Change (Maslow, Herzberg,
McGregor);
Group Behavior and Group Dynamics: Work groups formal and informal groups and s tages of group
development. Team Effectiveness: High performing teams, Team Roles, cross functional and self -
directed team.
Case study. 08
03 Organizational Structure & Design:
Structure, size, technology, Environment of organization; Organizational Roles & conflicts: Concept of
roles; role dynamics; role conflicts and stress.
Leadership: Concepts and skills of leadership, Leadership and managerial roles, Leadership styles and
contemporary issues in leadership.
Power and Politics: Sources and uses of power; Politics at workplace, Tactics and strategies. 06

Page 69

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 04 Human resource Planning:
Recruitment and Selection process, Job -enrichment, Empowerment – Job Satisfaction, employee
mora le.
Performance Appraisal Systems: Traditional & modern methods, Performance Counseling, Career
Planning.
Training & Development: Identification of Training Needs, Training Methods. 07
05 Emerging Trends in HR:
Organizational development; Business Process Re-engineering (BPR), BPR as a tool for organizational
development, managing processes & transformation in HR. Organizational Change, Culture,
Environment.
Cross Cultural Leadership and Decision Making: Cross Cultural Communication and diversity at work,
Causes of diversity, managing diversity with special reference to handicapped, women and ageing
people, intra company cultural difference in employee motivation. 07
06 HR & MIS: Need, purpose, objective and role of information system in HR, Applications in HRD in
various industries (e.g. manufacturing R&D, Public Transport, Hospitals, Hotels and service industries.
Strategic HRM : Role of Strategic HRM in the modern business world , Concept of Strategy, Strategic
Management Process, Approaches to Strategic Decision Making; Strategic Intent – Corporate Mission,
Vision, Objectives and Goals.
Labor Laws & Industrial Relations: Evolution of IR, IR issues in organizations, Overview of La bor
Laws in India; Industrial Disputes Act, Trade Unions Act, Shops and Establishments Act. 08

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weigh tage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has p art (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References :
1. Stephen Robbins, Organizational Behavior, 16th Ed., 2013.
2. V. S. P. Rao, Human Resource Management, 3rd Ed., 2010, Excel publishing.
3. Aswathapa, Human resource management: Text & cases, 6th Ed., 2011.
4. C. B. Mamoria and S. V. Gankar, Dynamics of Industrial Relations in India, 15th Ed., 2015,
Himalaya Publishing, 15th edition, 2015.
5. P. Subba Rao, Essentials of Human Resource management and Industrial relations, 5th Ed., 2013,
Himalaya Publishing.
6. Laurie Mullins, Management & Organizational Behavior, Latest Ed., 2016, Pearson Publications.

Page 70

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE2015 Professional Ethics and Corporate Social
Responsibility (CSR) 03


Objectives:
1. To understand professional ethics in business.
2. To recognized corporate social responsibility.

Outcomes: On completion of the course, learner will be able to:
1. Understand rights and duties of business.
2. Distinguish different aspects of corporate social responsibility.
3. Demonstrate professional ethics.
4. Understand legal aspects of corporate social responsibility.

Module Detailed Contents Hrs.
01 Professional Ethics and Business:
The Nature of Business Ethics, Ethical Issues in Business, Moral Responsibility and Blame,
Utilitarianism: Weighing Social Costs and Benefits, Rights and Duties of Business. 07
02 Professional Ethics in the Marketplace:
Perfect Competition, Monopoly Competition, Oligopolistic Competition, Oligopolies and Public Policy
Professional Ethics and the Environment: Dimensions of Pollution and Resource Depletion, Ethics of
Pollution Control, Ethics of Conserving Depletable Resources. 07
03 Professional Ethics of Consumer Protection:
Markets and Consumer Protection, Contract View of Business Firm‘s Duties to Consumers, Due Care
Theory, Advertising Ethics, Consumer Privacy Professional Ethics of Job Discrimination: Nature of
Job Discrimination, Extent of Discrimination, Reservation of J obs. 07
04 Introduction to Corporate Social Responsibility:
Potential Business Benefits —Triple bottom line, Human resources, Risk management, Supplier
relations, Criticisms and concerns —Nature of business, Motives, Misdirection. Trajectory of Corporate
Social Responsibility in India. 07
05 Corporate Social Responsibility:
Articulation of Gandhian Trusteeship Corporate Social Responsibility and Small and Medium
Enterprises (SMEs) in India, Corporate Social Responsibility and Public -Private Partnership (P PP) in
India. 07
06 Corporate Social Responsibility in Globalizing India:
Corporate Social Responsibility Voluntary Guidelines, 2009 issued by the Ministry of Corporate
Affairs, Government of India, Legal Aspects of Corporate Social Responsibility —Compan ies Act,
2013. 07

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.


Page 71

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture ho urs as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than modu le 3).
4. Only Four questions need to be solved.

References :
1. Business Ethics: Texts and Cases from the Indian Perspective (2013) by Ananda Das Gupta;
Publisher: Springer.
2. Corporate Social Responsibility: Readings and Cases in a Global Context (2007) by And rew
Crane, Dirk Matten, Laura Spence; Publisher: Routledge.
3. Business Ethics: Concepts and Cases, 7th Edition (2011) by Manuel G. Velasquez; Publisher:
Pearson, New Delhi.
4. Corporate Social Responsibility in India (2015) by Bidyut Chakrabarty, Routledge, New Delhi.

Page 72

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE2016 Research Methodology 03


Objectives:
1. To understand Research and Research Process.
2. To acquaint students with identifying problems for research and develop research strategies.
3. To familiarize students with the techniques of data collection, analysis of data and interpretation.

Outcomes: On completion of the course, learner will be able to:
1. Prepare a preliminary research design for projects in their subject matter areas.
2. Accurately collect, analyze and report data.
3. Present complex data or situations clearly.
4. Review and analyze research findings.

Module Detailed Contents Hrs.
01 Introduction and Basic Research Concepts:
Research – Definition, Concept of Construct, Postulate, Proposition, Thesis, Hypothesis, Law,
Principle, Research methods vs Methodology, Need of Research in Business and Social Sciences,
Objectives of Research, Issues and Problems in Research, Characteristics of Research: Systematic,
Valid, Verifiable, Empirical and Critical. 07
02 Types of Research:
Basic Research, Applied Research, Descriptive Research, Analytical Research, Empirical Research,
Qualitative and Quantitative Approaches. 06
03 Research Design and Sample Design:
Research Design – Meaning, Types and Significance, Sam ple Design – Meaning and Significance
Essentials of a good sampling Stages in Sample Design Sampling methods/techniques Sampling
Errors. 07
04 Research Methodology:
Meaning of Research Methodology, Stages in Scientific Research Process: Identification and Selection
of Research Problem, Formulation of Research Problem, Review of Literature, Formulation of
Hypothesis, Formulation of research Design, Sample Design, Data Collection, Data Analysis,
Hypothesis testing and Interpretation of Data, Preparation of Research Report. 08
05 Formulating Research Problem:
Considerations - Relevance, Interest, Data Availability, Choice of data, Analysis of data, Generalization
and Int erpretation of analysis. 07
06 Outcome of Research:
Preparation of the report on conclusion reached, Validity Testing & Ethical Issues, Suggestions and
Recommendation. 07

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.


Page 73

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be cov ered in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry eq ual marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References :
1. Dawson, Catherine, 2002, Practical Research Methods, New Delhi, UBS Publishers Distributors.
2. Kothari, C.R.,1985, Research Methodology -Methods and Techniques, New Delhi, Wiley Eastern
Limited.
3. Kumar, Ranjit, 2005, Research Methodology -A Step -by-Step Guide for Beginners, (2nded),
Singapore, Pearson Ed ucation.

Page 74

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE2017 IPR and Patenting 03


Objectives:
1. To understand intellectual property rights protection system.
2. To promote the knowledge of Intellectual Property Laws of India as well as International treaty
procedures.
3. To get acquaintance with Patent search and patent filing procedure and applications.

Outcomes: On completion of the course, learner will be able to:
1. Understand Intellectual Property assets.
2. Assist individuals and organizations in capacity build ing.
3. Work for development, promotion, protection, compliance, and enforcement of Intellectual
Property and Patenting.

Module Detailed Contents Hrs.
01 Introduction to Intellectual Property Rights (IPR): Meaning of IPR, Different category of IPR
instruments - Patents, Trademarks, Copyrights, Industrial Designs, Plant variety protection,
Geographical indications, Transfer of technology, etc.
Importance of IPR in Modern GlobalEconomic Environment: Theories of IPR, Philosophical
aspects of IPR laws, Need for IPR, IPR as an instrument of development. 07
02 Enforcement of Intellectual Property Rights: Introduction, Magnitude of problem, Factors that
create and sustain counterfeiting/piracy, International agreements, International organizations (e.g.
WIPO, WTO) active in IPR enforcement.
Indian Scenario of IPR: Introduction, History of IPR in India, Overview of IP laws in India, Indian
IPR, Administrative Machinery, Major international treaties signed by In dia, Procedure for submitting
patent and Enforcement of IPR at national level, etc. 08
03 Emerging Issues in IPR:
Challenges for IP in digital economy, e -commerce, human genome, biodiversity and traditional
knowledge, etc. 07
04 Basics of Patents:
Definition of Patents, Conditions of patentability, Patentable and non -patentable inventions, Types of
patent applications (e.g. Patent of addition, etc.), Process Patent and Product Patent, Precautions while
patenting, Patent specification Patent claims, Disclosures and non -disclosures, Patent rights and
infringement, Method of getting a patent. 06
05 Patent Rules:
Indian patent act, European scenario, US scenario, Australia scenario, Japan scenario, Chinese
scenario, Multilateral treaties where India is a member (TRIPS agreement, Paris convention etc.). 06
06 Procedure for Filing a Patent (National and International): Legislation and Salient Features, Patent
Search, Drafting and Filing Patent Applications, Processing of patent, Patent Litigation, Patent
Publication, Time frame and cost, Patent Licensing, Patent Infringement.
Patent databases: Important websites, Searching international databases. 08
Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

Page 75

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers o f end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References :
1. Rajkumar S. Adukia, 2007, A Handbook on Laws Relating to Intellectual Property Rights in India,
The Institute of Chartered Accountants of India.
2. Keayla B. K., Patent system and related issues at a glance, Published by National Working Group
on Patent Laws.
3. T. Sengupta, 2011, Intellectual Property Law in India, Kluwer Law In ternational.
4. Tzen Wong and Graham Dutfield, 2010, Intellectual Property and Human Development: Current
Trends and Future Scenario, Cambridge University Press.
5. Cornish, William Rodolph & Llewelyn, David. 2010, Intellectual Property: Patents, Copyrights,
Trade Marks and Allied Right, 7th Edition, Sweet & Maxwell.
6. LousHarns, 2012, The enforcement of Intellectual Property Rights: A Case Book, 3rd Edition,
WIPO.
7. Prabhuddha Ganguli, 2012, Intellectual Property Rights, 1st Edition, TMH.
8. R. Radhakrishnan & S Balas ubramanian, 2012, Intellectual Property Rights, 1st Edition, Excel
Books.
9. M. Ashok Kumar and Mohd Iqbal Ali, 2 -11, Intellectual Property Rights, 2nd Edition, Serial
Publications.
10. Kompal Bansal and Praishit Bansal, 2012, Fundamentals of IPR for Engineers, 1 st Edition, BS
Publications.
11. Entrepreneurship Development and IPR Unit, BITS Pilani, 2007, A Manual on Intellectual
Property Rights.
12. Mathew Y. Maa, 2009, Fundamentals of Patenting and Licensing for Scientists and Engineers,
World Scientific Publishing Company.
13. N. S. Rathore, S. M. Mathur, Priti Mathur, Anshul Rathi, IPR: Drafting, Interpretation of Patent
Specifications and Claims, New India Publishing Agency.
14. Vivien Irish, 2005, Intellectual Property Rights for Engineers, IET.
15. Howard B. Rockman, 2004, Intellectual Property Law for Engineers and scientists, Wiley -IEEE
Press.

Page 76

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE2018 Digital Business Management 03


Objectives:
1. To familiarize with digital business concept.
2. To acquaint with E -commerce.
3. To give insights into E -business and its strategies.

Outcomes: On completion of the course, learner will be able to:
1. Identify drivers of digital business.
2. Illustrate various approaches and techniques for E -business and management.
3. Prepare E -business plan.

Module Detailed Contents Hrs.
01 Introduction to Digital Business: Introduction, Background and current status, E -market places,
structures, mechanisms, economics and impacts Difference between physical economy and digital
economy.
Drivers of digital business: Big Data & Analytics, Mobile, Cloud Computing, Social media, BYOD,
and Internet of Things(digitally intelligent machines/services) Opportunities and Challenges in Digital
Business. 07
02 Overview of E -Commerce :
E-Commerce - Meaning, Retailing in e-commerce -products and services, consumer behavior, market
research and advertisement.
B2B-E-commerce -selling and buying in private e -markets, public B2B exchanges and support services,
e-supply chains, Collaborative Commerce, Intra business EC and Corpor ate portals.
Other E -C models and applications, innovative EC System -From E -government and learning to C2C,
mobile commerce and pervasive computing.
EC Strategy and Implementation -EC strategy and global EC, Economics and Justification of EC, Using
Affiliat e marketing to promote your e -commerce business, Launching a successful online business and
EC project, Legal, Ethics and Societal impacts of EC. 08
03 Digital Business Support services: ERP as e –business backbone, knowledge Tope Apps, Information
and re ferral system.
Application Development: Building Digital business Applications and Infrastructure. 07
04 Managing E -Business:
Managing Knowledge, Management skills for e -business, Managing Risks in e –business Security
Threats to e -business -Security Overview, Electronic Commerce Threats, Encryption, Cryptography,
Public Key and Private Key Cryptography, Digital Signatures, Digital Certificates, Security Protocols
over Public Networks: HTTP, SSL, Firewall as Security Control, Public Key Infrastructure (PKI) for
Security, Prominent Cryptographic Applications. 07
05 E-Business Strategy:
E-business Strategic formulation – Analysis of Company‘s Internal and external environment,
Selection of strategy, E -business strategy into Action, challenges and E -Trans ition (Process of Digital
Transformation). 07
06 Materializing e -business:
From Idea to Realization -Business plan preparation Case Studies and presentations. 06

Page 77

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covere d in question
papers of end semester examination. In question paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

References :
1. A textbook on E -commerce, Er. Arunrajan M ishra, Dr. W. K. Sarwade, Neha Publishers &
Distributors, 2011.
2. E-commerce from vision to fulfilment, Elias M. Awad, PHI -Restricted, 2002.
3. Digital Business and E -Commerce Management, 6th Ed., Dave Chaffey, Pearson, August 2014.
4. Introduction to E -Business -Management and Strategy, Colin Combe, Elsvier, 2006.
5. Digital Business Concepts and Strategy, Eloise Coupey, 2nd Edition, Pearson.
6. Trend and Challenges in Digital Business Innovation, Vinocenzo Morabito, Springer.
7. Digital Business Discourse Erika Darics, Apr il 2015, Palgrave Macmillan.
8. E-Governance -Challenges and Opportunities in: Proceedings in 2nd International Conference
theory and practice of Electronic Governance.
9. Perspectives the Digital Enterprise – A framework for Transformation, TCS consulting journa l,
Vol.5.
10. Measuring Digital Economy – A new perspective – DOI:10.1787/9789264221796 -enOECD
Publishing.

Page 78

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEIE2019 Environmental Management 03


Objectives:
1. Understand and identify environmental issues relevant to India and global concerns.
2. Learn concepts of ecology.
3. Familiarise environment related legislations.

Outcomes: On completion of the course, learner will be able to:
1. Understand the concept of environmental management.
2. Understand ecosystem and interdependence, food chain, etc.
3. Understand and interpret environment related legislations.

Module Detailed Contents Hrs.
01 Introduction and Definition of Environment:
Significance of Environment Management for contemporary managers, Career opportunities.
Environmental issues relevant to India, Sustainable Development, The Energy scenario. 06
02 Global Environmental concerns:
Global Warming, Acid Rain, Ozone Depletion, Hazardous Wastes, Endangered life -species, Loss of
Biodiversity, Industrial/Manmade disasters, Atomic/Biomedical hazards, etc. 08
03 Concepts of Ecology:
Ecosystems and interdependence between living organisms, habitats, limiting factors, carrying
capacity, food chain, etc. 07
04 Scope of Environment Management, Role & functions of Government as a planning and regulating
agency, Environment Quality Management and Corporate Environmental Responsibility. 08
05 Total Quality Environmental Management, ISO -14000, EMS certification. 06
06 General overview of major legislations like Environment Protection Act, Air (P & CP) Act, Water (P
& CP) Act, Wildlife Protection Act, Forest Act, Factories Act, etc. 07

Assessment:
Internal:
Assessment consists of two tests out of which; one should be compulsory class test (on minimum Two
Modules) and the other is either a class test or assignment on live problems or course project.

End Semester Theory Examination:
Some guidelines for setting up the question paper. Minimum 80% syllabus should be covered in question
papers of end semester examination. In qu estion paper weightage of each module will be proportional to
number of respective lecture hours as mention in the syllabus.
1. Question paper will comprise of total six question.
2. All question carry equal marks.
3. Questions will be mixed in nature (for example supposed Q.2 has part (a) from module 3 then part
(b) will be from any module other than module 3).
4. Only Four questions need to be solved.

Page 79

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022 References :
1. Environmental Management: Principles and Practice, C. J. Barrow, Routledge Publishers London,
1999.
2. A Handbook of Environmental Management Edited by Jon C. Lovett and David G. Ockwell,
Edward Elgar Publishing.
3. Environmental Management, T. V. Ramachandra and Vijay Kulkarni, TERI Press.
4. Indian Standard Environmental Management Systems — Requirements with G uidance for Use,
Bureau of Indian Standards, February 2005.
5. Environmental Management: An Indian Perspective, S. N. Chary and Vinod Vyasulu, Maclillan
India, 2000. Introduction to Environmental Management, Mary K. Theodore and Louise Theodore,
CRC Press.
6. Environment and Ecology, Majid Hussain, 3rd Ed. Access Publishing, 2015.

Page 80

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEL201 Industrial Automation Lab 01


Module Detailed Contents Lab.
Sessions
01 Simulation of basic hydraulic, pneumatic and electric and combination circuits using software like
automation studio etc. 05
02 Design and Testing of hydraulic, pneumatic, electro pneumatic and PLC circuits. 03
03 Simulation of Nyquist plots and State -space representation. 02
04 Development of Ladder logic programmer for control of real time processes. 03


Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by pair of internal and
external examiners


Page 81

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSESBL201 Manufacturing Simulation Lab 02


Module Detailed Contents Lab.
Sessions
01 Simulation in the Fields of Forming considering any of the following: Cold Forming, Hot Forging,
Ring Rolling, Sheet Metal Forming, Rolling. 05
02 Simulation in the Fields of Joining considering any of the following: Arc Welding, Mechanical
Joining. 04
03 Simulation in the Fields of Additive Manufacturing considering any of the following Fields of
application: Power bed Fusion, Deposition method, Metal Binder Jetting. 04

The experiments can be performed on SIMUFACT, ANSYS or Any other relevant software.

Assessment:
End Semester Examination: Practical/Oral examination is to be conducted by pair of internal and
external examiners











Page 82

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEOCC301
&
MSEOCC302 Online Credit Course – I & II 03 + 03


Guidelines for Online Credit Course:

It is mandatory to complete the Online Credit Courses (OCC) available on NPTEL / Swayam /MOOC or
similar platform approved by UoM. These two courses shall be completed in any semester I or II or III, but
not later end of the Semester III. University shall make a provision that credits earned with OCC - I and
OCC -II shall be accounted in the third semester grade -sheet with actual names of courses. The learner shall
be al lowed to take up these courses from his or her institute or organisation/ industry where his / her major
project is carried out. The students shall complete the courses and shall qualify the exam conducted by the
respective authorities/ instructor from the platform. The fees for any such courses and the corresponding
examination shall be borne by the learner.

Online Credit Course – I
The learner shall opt for the course in the domain of Research Methodology or Research & Publication
Ethics or IPR. The o pted course shall be of 3 credits of equivalent number of weeks.

Online Credit Course –II
The learner shall opt for the course recommended by Faculty Advisor/ Project Supervisor from the
institute. The opted course shall be of 3 credits of equivalent numb er of weeks.

Page 83

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEMP301 Major Project: Dissertation -I 10


Guidelines for Dissertation -I

Students should do literature survey and identify the problem for Dissertation and finalize in consultation
with Guide/Supervisor. Students should use multiple literatures and understand the problem. Students
should attempt solution to the problem by analytical/simulation/experimental methods. The solution to be
validated with proper justification and compile the rep ort in standard format. Guidelines for Assessment of
Dissertation -I.

Dissertation -I should be assessed based on following points:
 Quality of Literature survey and Novelty in the problem
 Clarity of Problem definition and Feasibility of problem solution
 Relevance to the specialization
 Clarity of objective and scope Dissertation -I should be assessed through a presentation by a panel
of Internal examiners and external examiner appointed by the Head of the Department/Institute of
respective Programme.


Page 84

University of Mumbai, ME (Mechanical) Manufacturing Systems Engineering, Rev 2022
Course Code Course Name Credits
MSEMP401 Major Project: Dissertation -II 16


Guidelines for Dissertation -II


Dissertation II should be assessed based on following points:
 Quality of Literature survey and Novelty in the problem
 Clarity of Problem definition and Feasibility of problem solution
 Relevance to the specialization or current Research / Industrial trends
 Clarity of objective and scope
 Quality of work attempted or learner contribution
 Validation of results
 Quality of Written and Oral Presentation

Students should publish at least one paper based on the work in referred National/ International
conference/Journal of repute.

Dissertation II should be assessed by internal and External Examiners appointed by the University of
Mumbai.