Master of Management Studies (M.M.S) Productivity Enhancement in Operations Management Syllabus - Mumbai University 2026
This is the M.M.S. syllabus under NEP 2020, in force from the academic year 2025-26: Semesters I and II from the revised circular and Semesters III and IV from the new one, both approved by the Academic Council on 20 May 2025. The earlier choice-based syllabus is still set alongside it for repeating candidates, so check which scheme your exam form names before you revise.
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Syllabus for Productivity Enhancement in Operations Management
Course objectives
- 1 To introduce foundational concepts, strategies, and techniques for productivity enhancement.
- 2 To equip students with practical skills for identifying productivity bottlenecks and implementing improvements.
- 3 To develop analytical capabilities for measuring productivity and assessing operational effectiveness.
- 4 To foster understanding of productivity improvement methodologies such as TQM, Six Sigma, and Kaizen.
- 5 To cultivate strategic insights into fostering a culture of continuous productivity improvement in operations.
Course outcomes
- CO1: Remember / Recall the fundamental concepts and principles of productivity in operations.
- CO2: Understand various frameworks and models for productivity enhancement.
- CO3: Apply productivity improvement techniques in real-world operational scenarios.
- CO4: Analyse the impact of different productivity enhancement strategies on operations.
- CO5: Critically evaluate productivity measurement tools and their effectiveness.
- CO6: Create new approaches towards improving processes, materials and overall productivity
Unit 1 CO1, CO2 · 3 hours
Introduction to Productivity & Measurement Definition, Scope & Importance of Productivity in Operations, Key Drivers of Productivity, Productivity Metrics & KPIs, Benchmarking Best Practices.
Unit 2 CO2, CO3 · 3 hours
Lean Thinking, Waste Elimination & Process Improvement Principles of Lean Management & 7 Wastes, Tools for Process Improvement (Suggested Case Study: Lean Implementation at Tata Motors – Reducing Waste & Improving Efficiency)
Unit 3 CO2, CO3 · 3 hours
Six Sigma: DMAIC & DMADV Frameworks,
Unit 4 CO2, CO4 · 3 hours
Total Quality Management (TQM) & Continuous Improvement Principles of TQM & Kaizen, PDCA Cycle (Suggested Case Study: TQM & Kaizen at Maruti Suzuki – Driving Quality Excellence)
Unit 5 CO2, CO4 · 3 hours
Statistical Process Control (SPC)
Unit 6 CO3, CO5 · 3 hours
Industrial Engineering & Ergonomics Role of Industrial Engineering in Productivity, Job & Work System Design, Organizational structure and morphology Work Design & Ergonomic Considerations (Suggested Case Study: Ergonomic Work System Design at Tata Steel – Enhancing Worker Productivity & Safety)
Unit 7 CO3, CO4 · 3 hours
Work Study and Time and Motion Study – Method Engineering and Process Flow
Unit 8 CO3, CO4 · 3 hours
Smart Manufacturing, Automation & Industry 4.0 Automation & AI in Productivity Enhancement, Digital Twins & IoT in Manufacturing
Unit 9 CO3, CO4 · 3 hours
Smart Manufacturing, Automation & Industry 4.0 – its Application using a Case Study Suggested Case Study: Smart Manufacturing & Industry 4.0 at Mahindra & Mahindra – Enhancing Productivity through Automation & AI
Unit 10 CO4, CO5 · 3 hours
Sustainable Productivity & Green Manufacturing Green Manufacturing & Sustainable Operations, Carbon Footprint Reduction in Operations (Suggested Case Study: Green Manufacturing at Tata Motors – Reducing Carbon Footprint through Sustainable Operations)
Unit 11 CO3, CO4 · 3 hours
Supply Chain, Logistics & Productivity Productivity in Warehousing & Transportation,
Unit 12 CO3, CO4 · 3 hours
Supply Chain, Logistics & Productivity Logistics Optimization Techniques (Suggested Case Study: Logistics Optimization at Flipkart – Enhancing Warehouse & Transportation Productivity)
Unit 13 CO3, CO5 · 3 hours
IT, Digital Tools & Data-Driven Productivity ERP, MES & Other Digital Productivity Tools, Data-Driven Decision Making for Productivity (Suggested Case Study: IT-Driven Productivity Enhancement at Marico – Implementing ERP & Data Analytics for Operational Efficiency)
Unit 14 CO3, CO5 · 3 hours
Operation Strategy and Competitiveness Strategy Design Process, Service Strategy Capacity Capabilities, Productivity Measures (Suggested Case Study: Southwest Airlines)
Unit 15 CO4, CO5 · 3 hours
Agile & Flexible Operations Agile Manufacturing & Lean-Agnostic Approaches, Flexibility & Responsiveness in Operations
Unit 16 CO2, CO3 · 3 hours
Behavioural Aspects & Organizational Productivity Employee Motivation & Productivity, Organizational Culture & Performance (Suggested Case Study: Employee Motivation & Productivity at Infosys)
Unit 17 CO3, CO5 · 3 hours
Productivity in Service Operations Service Blueprinting & Efficiency Improvement,
Unit 18 CO3, CO5 · 3 hours
Productivity in Service Operations Strategies for Service Excellence (Suggested Case Study: Service Efficiency Improvement at Apollo Hospitals)
Unit 19 CO2, CO5 · 3 hours
Productivity & Performance Metrics Balanced Scorecard & Productivity KPIs, OEE (Overall Equipment Effectiveness)
Unit 20 CO4, CO5 · 3 hours
Project & Case Studies Projects to be prepared by students based on the modules discussed. Presentations of Projects / Case Studies by Students
Textbooks
- 1 “Production & Operations Management” by K. Aswathappa
- 2 “Productivity Techniques” by Uday Salunkhe & Gondhalekar
Reference Books
- 1 “Performance Management Systems” by A. Sahay
- 2 “Agile Manufacturing” by Gunasekaran
- 3 “ERP Systems & Productivity” by Vinod Garg
Reproduced from the University of Mumbai syllabus for Master of Management Studies (Two Year), Semester III and IV, AC 20/05/2025, Item No. 7.11 (N), in force from the academic year 2025-26. Wording and unit numbering are as printed there. The PDF above is the syllabus's own page, unaltered.
The complete syllabus
This subject is cut from the University circular for its semester. Open a document here if you want the whole thing rather than a single subject.