Manufacturing & Operational Excellence

Indian Institute of Management Mumbai

Operations and Supply Chain Management

About Programme

About the Program

In today’s competitive and uncertain business environment, organizations across manufacturing and service sectors are under continuous pressure to improve productivity, reduce costs, enhance quality, improve responsiveness, and build resilient operations. Operational excellence is no longer limited to shop-floor efficiency; it has become a strategic capability that enables organizations to deliver superior value to customers while ensuring profitability and sustainability.

The Manufacturing & Operational Excellence Program is designed to help industry professionals understand, analyze, and improve operational systems through structured frameworks, analytical tools, and practical improvement approaches. The programme will cover key concepts related to manufacturing systems, process improvement, lean operations, productivity enhancement, digital and data-driven operations, and performance measurement.

The programme will provide participants with a practical understanding of how operational excellence principles can be applied in both manufacturing and service organizations. Through case discussions, examples, exercises, and interactive sessions, participants will learn how to identify inefficiencies, analyze root causes, design improvement initiatives, and develop a roadmap for operational excellence in their respective organizations.

The programme is suitable for executives and managers involved in operations, production, manufacturing, supply chain, quality, maintenance, industrial engineering, process improvement, project management, and service delivery functions

Programme Content

Day 1: Foundations of Manufacturing and Operational Excellence

Strategic Role of Operations in Business Competitiveness (Operations as a source of competitive advantages; Cost, quality, delivery, flexibility, and innovation trade-offs; Operational excellence as a strategic capability)

Understanding Operational Systems and Performance (Productivity, efficiency, utilization, throughput, cycle time, lead time; Identifying operational gaps and improvement opportunities)

Process Analysis and Bottleneck Identification (Process mapping and flow analysis, Capacity analysis and bottleneck identification, work-in-process, and variability)

Day 2: Improvement Approaches, Lean Thinking, and Quality Excellence

Lean Operations and Waste Reduction (Principles of Lean thinking, Types of waste in manufacturing and service operations, Value-added and non-value-added activities, visual management, Lead time reduction, Flow improvement and pull systems, Overall Equipment Effectiveness, Improving asset utilization and operational availability)

Root Cause Analysis and Problem-Solving Methods (Structured problem-solving approach, work study, methods improvement, Cause-and-effect analysis, 5 Why analysis)

Day 3: Digital Operations, Analytics, and Implementation Roadmap

Digital Transformation and Technology in Operations (Industry 4.0 and smart manufacturing, Automation and digital operations, Role of data, sensors, dashboards, and analytics, Data-driven decision-making in operations)

Implementation Roadmap and Action Planning (Developing an operational excellence roadmap, linking and understanding operational improvement on financial performance, Iinvestment decision analysis,)

Programme Objective

The key objectives of the programme are to:

Develop an understanding of the strategic role of manufacturing and operations in business competitiveness.

Introduce participants to the principles and practices of operational excellence.

Enable participants to identify operational inefficiencies, bottlenecks, waste, and performance gaps.

Provide exposure to improvement approaches such as work study, methods improvement, Lean, process analysis, and productivity enhancement.

Familiarize participants with tools for process mapping, root cause analysis, Waste identification, and continuous improvement.

Discuss the role of technology, digitalization, and data-driven decision-making in modern operations.

Help participants develop practical improvement roadmaps for their own organizational contexts.

Pedagogy

Pedagogy:

The programme will use a mix of conceptual learning and practice-oriented methods to ensure effective learning and application. The overall pedagogy will include:

Interactive lectures

Case discussions

Industry examples from manufacturing and service sectors

Process analysis exercises

Group discussions

Problem-solving exercises

Participant experience sharing

Action-planning for implementation in participants’ organizations

The focus will be on helping participants relate the concepts to real operational challenges faced in their organizations.

Programme Audience

The programme is intended for executives, managers, engineers, consultants, and professionals working in manufacturing, service, and operations-intensive organizations. Suitable participants include Operations managers, Production managers, Manufacturing managers, Plant managers, Industrial engineers, Maintenance managers, Process improvement professionals, Service operations managers, Consultants working in operations, manufacturing, supply chain, and process improvement domains

The programme is also suitable for mid-level and senior-level professionals responsible for improving operational performance, productivity, quality, cost efficiency, and service delivery.

Other programs in this subject area you might find useful

Same topic, Similar duration - Broader exploration across all institutes

Contact us for the further details

Speak with an Advisor

Faculty Information
Testimonials
Programme Benefits

Prashansa Uttam

Programme Advisor

+91 9403890085[email protected]Mon – Fri, 9am – 5pm IST

Indian Institute of Management Mumbai

Executive Education Office

Prof. Milind Akarte, Prof. Vivek Khanzode, Prof. Rauf Iqbal

https://www.iimmumbai.ac.in

Mumbai, India

Tell us about your program enquiry

Fill out the form below and our team will get back to you within 24 hours.