Skip to main content

IE 714: Quantitative models for supply chain management

Prerequisite: Instructor's permission.  Exposure to IE 609 and IE 611 is desirable.


Supply chain management involves a number of decisions that benefit by quantitative techniques of analysis and design. The course will take up a few of these to explore modeling, computation and IT-enabled implem-entation of solutions in some areas of Supply Chain Management. The application areas include material flow management across the supply chain, value management and analysis of total supply chain costs, robust design of supply chains, co-ordination of supply chain decisions and handling of uncertainties in supply chain management. The emphasis will be on modeling, analysis and implementation issues, including a few case studies, but the relevant techniques will be covered as required.


  • Simchi-Levi, D. P. Kaminski and E. Simchi-Levi (2003), Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies, (2nd Edition) Irwin, McGraw-Hill.
  • Chopra S., and P. Meindl (2002), Supply Chain Management: Strategy, Planning, and Operations, Prentice-Hall, India.
  • Shapiro J. (2001), Modelling the Supply Chain, Duxbury Thomson Learning
  • N. Viswanadham. (1999), Analysis of Manufacturing Enterprises: An approach to Leveraging Value Delivery Process for competitive Advantage, Kluwer Academic Publishers, Boston.
  • Tayur, S. Ram Ganeshan and Michael Magazine (1998), Quantitative Models for Supply chain Management, Kluwer Academic Publishers, Boston.
  • G. Raghuram and N. Rangaraj [Editors] (2000) Logistics and Supply Chain Management: Cases and Concepts, Macmillan, New Delhi.
  • Journal articles as appropriate