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Quantitative Models for Supply Chain Management

  • Sridhar Tayur
  • Ram Ganeshan
  • Michael Magazine

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 17)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Sridhar Tayur, Ram Ganeshan, Michael Magazine
    Pages 1-6
  3. Gérard P. Cachon
    Pages 111-146
  4. Shoshana Anily, Julien Bramel
    Pages 147-196
  5. Ravi Anupindi, Yehuda Bassok
    Pages 197-232
  6. Charles J. Corbett, Christopher S. Tang
    Pages 269-297
  7. Andy A. Tsay, Steven Nahmias, Narendra Agrawal
    Pages 299-336
  8. Sunder Kekre, Tridas Mukhopadhyay, Kannan Srinivasan
    Pages 359-379
  9. Edward G. Anderson Jr., Charles H. Fine
    Pages 381-415
  10. Srinagesh Gavirneni, Sridhar Tayur
    Pages 441-466
  11. Amit Garg, Hau L. Lee
    Pages 467-490
  12. Siddharth Mahajan, Garrett J. van Ryzin
    Pages 491-551
  13. Yossi Aviv, Awi Federgruen
    Pages 553-584
  14. Jayashankar M. Swaminathan, Sridhar R. Tayur
    Pages 585-622
  15. Morris A. Cohen, Arnd Huchzermeier
    Pages 669-702
  16. Alan Scheller-Wolf, Sridhar Tayur
    Pages 703-736
  17. Ananth Raman
    Pages 789-805
  18. E. A. van der Laan, M. Fleischmann, R. Dekker, L. N. Van Wassenhove
    Pages 807-837
  19. Ram Ganeshan, Eric Jack, Michael J. Magazine, Paul Stephens
    Pages 839-879
  20. Back Matter
    Pages 881-885

About this book

Introduction

Quantitative models and computer-based tools are essential for making decisions in today's business environment. These tools are of particular importance in the rapidly growing area of supply chain management. This volume is a unified effort to provide a systematic summary of the large variety of new issues being considered, the new set of models being developed, the new techniques for analysis, and the computational methods that have become available recently. The volume's objective is to provide a self-contained, sophisticated research summary - a snapshot at this point of time - in the area of Quantitative Models for Supply Chain Management. While there are some multi-disciplinary aspects of supply chain management not covered here, the Editors and their contributors have captured many important developments in this rapidly expanding field.
The 26 chapters can be divided into six categories.
  • Basic Concepts and Technical Material (Chapters 1-6). The chapters in this category focus on introducing basic concepts, providing mathematical background and validating algorithmic tools to solve operational problems in supply chains.
  • Supply Contracts (Chapters 7-10). In this category, the primary focus is on design and evaluation of supply contracts between independent agents in the supply chain.
  • Value of Information (Chapters 11-13). The chapters in this category explicitly model the effect of information on decision-making and on supply chain performance.
  • Managing Product Variety (Chapters 16-19). The chapters in this category analyze the effects of product variety and the different strategies to manage it.
  • International Operations (Chapters 20-22). The three chapters in this category provide an overview of research in the emerging area of International Operations.
  • Conceptual Issues and New Challenges (Chapters 23-27). These chapters outline a variety of frameworks that can be explored and used in future research efforts.

This volume can serve as a graduate text, as a reference for researchers and as a guide for further development of this field.

Keywords

Feder Manufacturing Stochastic Programming Supply Chains design development modeling optimization programming simulation

Editors and affiliations

  • Sridhar Tayur
    • 1
  • Ram Ganeshan
    • 2
  • Michael Magazine
    • 2
  1. 1.Carnegie Mellon UniversityUSA
  2. 2.University of CincinnatiUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-4949-9
  • Copyright Information Kluwer Academic Publishers 1999
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-7246-2
  • Online ISBN 978-1-4615-4949-9
  • Series Print ISSN 0884-8289
  • Buy this book on publisher's site
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