Programme Content
MODULE 1: Foundation to Operations Management
Introduction to Operations Management & Operations Strategy
Service Strategy and Design of Service Systems
Capacity & Process Analysis
Demand Forecasting
Sales & Operations Planning
Measures and Dimensions of Quality & TQM
Six Sigma and Statistical Process Control
MODULE 2: Analytical Tool and Techniques
Statistics for Managers: Basics of Normal Distribution
Linear Regression
Formulation – Optimization Problems in OSCM
Introduction to Linear Optimization
MODULE 3: Supply Chain Management & Strategies
Supply Chain Fundamentals & Facility Location Implications
Inventory Management: Policies and Models
Supply Chain Design & Network Strategy
Logistics and Global Transportation
Strategies Strategic Sourcing and SC Coordination
MODULE 4: Digital and AI-Driven Supply Chain Transformation
SC Digital Transformation and Use Cases of SC Digital Twins
Supplier Negotiation and Coordination with Smart Contracts
AI for Demand Forecasting & Predictive Analytics
AI for Optimization and Prescriptive analytics in Supply Chains
MODULE 5: Project Management: Concepts & Tools
Project Planning, Organization & WBS
Project Scheduling – CPM & PERT
Project Resources & Risk Management
MODULE 6: Advanced Operations & Supply Chain Analytics
Theory of Constraints| Hands-on Software
SC Network Design and Analytics (Harvard case)
Sustainable Logistics | Hands-on Software
Simulating Global Supply Chains (with AI briefings)
End-to-End Supply Chain Risk Management
Supply Chain Performance Measurement and Incentive Alignment
MODULE 7: Agentic AI & Big Data in Supply Chains
Leveraging Big Data for SC Optimization
AI for Operations Automation & workflow Design
Agentic AI use cases in Operations and Supply Chain Management
Gen AI & Applications in Operations and Supply Chain Management
MODULE 8: Retail and E-Commerce Operations
Retail & E-Commerce Operations - Brick and Mortar Retail
Retail & E-Commerce Operations - Online Retail
Platform Business Models
Last-mile Delivery optimization (live industry cases)
Note:
Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/ adapted to fit the participant profile & programme hours.
The programme curriculum includes individual assignments, simulations, group projects & presentations to apply and demonstrate classroom learnings.
The session recordings may be made available on the LMS portal in a non-downloadable format for a limited period subject to the condition of faculty discretion regarding the allowance of recordings of their classes.
The primary mode of learning for this programme is via live online sessions with faculty members. Post session video recordings may or may not be made available, at the discretion of faculty members. Emeritus or the institute does not guarantee availability of any session recordings.
Campus immersion will take place at the IIML Lucknow campus.

