Modelling and Analytics for Supply Chain Management | IIT Kharagpur Course
Course Details
| Exam Registration | 321 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 12 weeks |
| Categories | Management Studies |
| Credit Points | 3 |
| Level | Postgraduate |
| Start Date | 19 Jan 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 02 Feb 2026 |
| Exam Registration Ends | 20 Feb 2026 |
| Exam Date | 25 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Master the Science of Supply Chains: A Deep Dive into Modelling and Analytics
In today's hyper-competitive global market, a robust and responsive supply chain is not just a support function—it's a core strategic advantage. Moving beyond intuition and experience, modern supply chain management demands precision, foresight, and data-driven decision-making. This is where the power of modelling and analytics becomes indispensable.
We are excited to present a comprehensive 12-week postgraduate course, "Modelling and Analytics for Supply Chain Management," designed to equip professionals and students with the advanced analytical tools needed to solve complex supply network problems. This course bridges the critical gap between theoretical concepts and real-world industrial application.
Learn from Industry Pioneers and Academic Experts
The course is led by a distinguished faculty team with unparalleled industry and academic credentials:
- Prof. Kunal Kanti Ghosh: With over three decades in the automobile industry, Prof. Ghosh brings a wealth of practical experience. His notable achievements include being the Corporate Initiatives Head at Tata Technologies Ltd., architecting the Parts Supply Management System for Nissan Australia, and managing major plant commissioning projects at Tata Motors. A recipient of the "Best Young Manager's Award" from AIMA, his insights are grounded in real-world challenges and solutions.
- Prof. Anupam Ghosh: A specialist in Supply Chain Analytics and Information Visibility, Prof. Anupam Ghosh adds deep academic and research rigor. With a PhD in the field and experience as a Visiting Scholar at Bentley University, USA, he has worked on diverse projects from healthcare information systems to public transportation fare models, ensuring the course content is both relevant and cutting-edge.
Course Overview: What You Will Learn
This intensive course focuses on applying analytical techniques to determine effective solutions for supply network challenges, considering the constraints of both demand and supply. The primary objectives are to understand supply network dynamics and demonstrate how analytics-driven decisions directly impact a firm's success.
Detailed 12-Week Curriculum
| Week | Core Topics Covered |
|---|---|
| Week 1 | Introduction to Modeling & Analytics, SCOR model, Strategic Fit, Design of Distribution Networks. |
| Week 2 | Supplier Selection Analytics using Linear Programming, Goal Programming, and Multi-Criterion Decision Making (MCDM). |
| Week 3 | Transportation Modeling: Route planning, Transshipment, and Flow path optimization. |
| Week 4 | Warehousing Analytics: Facility location problems (MILP), space calculation, and non-linear optimization. |
| Week 5 | Strategic Performance Improvement with Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis. |
| Weeks 6-9 | Inventory Analytics Deep Dive: From Economic Order Quantity (EOQ) to complex models under uncertainty, Newsvendor Model, Service Level optimization, and Make-to-Order strategies. |
| Week 10 | Modeling Coordination: Tackling the Bullwhip Effect and designing collaborative supply networks. |
| Week 11 | Risk Analytics: Profiling country and route risks for resilient international supply chain design. |
| Week 12 | Design & Optimization of global, multi-period supply chain networks. |
Who Should Enroll?
Intended Audience: This course is ideally suited for students and professionals in Management, Industrial & Systems Engineering, Mechanical Engineering, and related disciplines who aim to specialize in supply chain optimization.
Industry Support: The curriculum is highly relevant and recognized by leading corporations including the Tata Group of Industries, Larsen & Toubro (L&T), multinational corporations, and major IT & service organizations, ensuring the skills you learn are in high demand.
Essential Reading Materials
To complement the lectures, the course references seminal texts in the field:
- Supply Chain Management: Strategy & Analysis by Chopra, Meindl & Kalra
- Supply Chain Management by Janat Shah
- Designing & Managing the Supply Chain by Simchi-Levi & Kaminsky
Transform Your Career with Data-Driven Supply Chain Expertise
Whether you aim to streamline logistics, reduce operational costs, mitigate risks, or design a resilient global network, this course provides the foundational and advanced toolkit. By mastering the modelling and analytics techniques taught by IIT Kharagpur's expert faculty, you will be prepared to make strategic contributions that enhance efficiency, profitability, and competitive edge for any organization.
Take the next step in mastering the backbone of modern business. Enroll in "Modelling and Analytics for Supply Chain Management" and learn to turn supply chain complexity into your greatest opportunity.
Enroll Now →