With an emphasis on modeling techniques, Jeremy Shapiro's MODELING THE SUPPLY CHAIN is the perfect tool for courses in supply-chain management or for professional managers who seek better analytical tools for managing their supply chains, information technologists who are responsible for developing and/or maintaining such tools, and consultants who conduct supply-chain studies using models. Shapiro examines in detail the roles of data, models, and modeling systems in helping companies improve the management of their supply chains. The focus is on optimization models based on linear and mixed integer programming. Shapiro clearly illustrates that when properly applied, these methodologies can create accurate and comprehensive models of great practical value. The book also shows how competitive advantage in supply chain management can be most fully realized by implementing and applying optimization modeling systems.
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Jeremy Shapiro is a professor emeritus in the Sloan School of Management at MIT. For nine years he served as the co-director of MIT's Operations Research Center. Previously, he was employed by Procter and Gamble, Hughes Aircraft Company, and the Port of New York Authority. He received his B.M.E. and M.I.E. degrees from Cornell University and a Ph.D. degree in Operations Research from Stanford University.
Dr. Shapiro has published over 60 papers in the areas of operations research, mathematical programming, logistics, supply chain management, finance, and marketing. He is also president of SLIM Technologies, LLC, a Boston-based firm specializing in the implementation and application of modeling systems for supply chain management and other business problems. His outside interests include reading, traveling, biking and playing tennis. He is married to Martha J. Heigham and has three children, Alexander, Lara, and Nicholas.
Part I: INTRO TO SUPPLY CHAIN MANAGEMENT AND SUPPORTING INFORMATION TECHNOLOGIES. 1. Supply Chain Management, Integrated Planning, and Models. 2. Information Technology. Part II: MODELS. 3. Fundamentals of Optimization Models: Linear Programming. Appendix 3A: The Simplex Method of Linear Programming. 4. Fundamentals of Optimization Models: Mixed Integer Programming. Appendix 4A: The Branch-and-Bound Method for Mixed Integer Programming. 5. Unified Optimization Methodology for Operational Planning Problems. Appendix 5A: A Recursive Method for Optimizing Routes. 6. Overview of Descriptive Models. 7. Supply Chain Decision Databases. Part III: APPLICATIONS. 8. Strategic and Tactical Supply Chain Planning. 9. Operational Supply Chain Planning. 10. Inventory Planning. 11. Supply Chain Decision Making under Uncertainty. Part IV: THE FUTURE. 12. Beyond Supply Chain Optimization to Enterprise Optimization. 13. Organizational Adaptation to Modeling Systems. Credits. Index.
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