Supply Chain Analytics Course | IIT Roorkee NPTEL | Prof. Rajat Agrawal
Course Details
| Exam Registration | 856 |
|---|---|
| Course Status | Ongoing |
| Course Type | Elective |
| Language | English |
| Duration | 8 weeks |
| Categories | Management Studies, Operations |
| Credit Points | 2 |
| Level | Undergraduate/Postgraduate |
| Start Date | 16 Feb 2026 |
| End Date | 10 Apr 2026 |
| Enrollment Ends | 16 Feb 2026 |
| Exam Registration Ends | 27 Feb 2026 |
| Exam Date | 18 Apr 2026 IST |
| NCrF Level | 4.5 — 8.0 |
Unlock the Power of Data in Your Supply Chain
In today's hyper-competitive global marketplace, customer expectations are higher than ever. They demand greater variety, superior quality, faster service, and lower costs. To thrive, companies must build agile, intelligent, and profitable supply chains. The key to unlocking this capability? Supply Chain Analytics.
We are excited to introduce a detailed 8-week course designed to equip you with the analytical tools and strategic mindset needed to transform any supply chain. This course, offered on the NPTEL platform, is led by a distinguished expert from one of India's premier institutions.
Your Instructor: Learn from an IIT Roorkee Authority
This course is taught by Prof. Rajat Agrawal, a leading authority in Operations and Supply Chain Management.
- Position: Professor and Head, Department of Management Studies, IIT Roorkee.
- Experience: Over 25 years in teaching, research, and academic leadership in Operations Management and Decision Sciences.
- Recognition: Recipient of the Ramkumar Award for Outstanding Teaching and Research at IIT Roorkee.
- Research: Published extensively in top-tier international journals including Journal of Cleaner Production, International Journal of Operations & Production Management, and Computers & Industrial Engineering.
- Teaching: Regularly offers popular NPTEL courses on Supply Chain Analytics, Production & Operations Management, and the Toyota Production System.
Learning under Prof. Agrawal ensures you gain insights from both deep academic research and practical, industry-relevant knowledge.
Course Overview: What You Will Master
This undergraduate/postgraduate level course is structured to provide a comprehensive understanding of how analytics drives modern supply chains.
On successful completion, you will be able to:
- Understand the fundamentals of Business Analytics and Optimization.
- Grasp the core concepts and importance of Supply Chain Analytics.
- Analyze supply chain uncertainty and align strategy with business goals.
- Explain and apply Descriptive, Predictive, and Prescriptive Analytics within a supply chain context.
- Learn the basics of modeling using the R programming language.
Detailed 8-Week Course Layout
| Week | Key Topics Covered |
|---|---|
| Week 1 | Context of modern supply chains, defining SCA, revising SCM basics, importance of analytics in material, money, and information flows. |
| Week 2 | Key issues in SCA, concept of Descriptive Analytics, real-world applications in India, decision domains. |
| Week 3 | Foundation of Business Analytics: Modeling, Optimization, Simulation, data's role, solving a transportation problem. |
| Week 4 | In-depth Case Study on Supply Chain Analytics. |
| Week 5 | Prescriptive Analytics for Network Planning: logistics network design, heuristics/optimization, 3PL/4PL, Case Study: GATI. |
| Week 6 | Modeling Coordination Decisions in Supply Chain Management. |
| Week 7 | Foundation of Performance Management in Supply Chains. |
| Week 8 | IT Enablement: The critical role of Information & Communication Technology (ICT) in supply chains. |
Who Should Enroll?
- Intended Audience: This is an ideal elective for postgraduate students (MBA, MSc) and working professionals in operations, logistics, analytics, or consulting.
- Prerequisites: A basic understanding of Operations Management concepts is desirable.
- Industry Support: The skills taught are highly valued by major firms in analytics and consulting, including IBM, Mu-Sigma, Genpact, Accenture, Capgemini, Wipro, and Deloitte.
Recommended Reading & Resources
To complement your learning, the course references seminal texts and leading journals:
- Core Textbooks:
- Chopra & Meindl, Supply Chain Management
- Simchi-Levi et al., Designing and Managing the Supply Chain
- Jeremy F. Shapiro, Modeling the Supply Chain
- Key Journals:
- Supply Chain Management: An International Journal
- Supply Chain Management Review
- International Journal of Physical Distribution & Logistics Management
Why This Course is Essential for Your Career
Supply Chain Analytics is no longer a niche skill—it's a core business competency. This course provides the structured knowledge to:
- Move from intuition-based to data-driven decision-making.
- Identify cost-saving and efficiency opportunities across the supply network.
- Enhance your profile for high-demand roles in a rapidly growing field.
- Gain a certificate from a renowned program under an IIT professor.
Take the first step towards mastering the analytics that power the world's most efficient supply chains. Enroll today and transform your understanding of one of the most critical functions in modern business.
Enroll Now →