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Quantitative Models for Supply Chain Management

  • Book
  • © 1999

Overview

Editors:
  1. Sridhar Tayur

    1. Carnegie Mellon University, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Ram Ganeshan

    1. University of Cincinnati, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Michael Magazine

    1. University of Cincinnati, USA

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    You can also search for this editor in PubMed   Google Scholar

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

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Table of contents (27 chapters)

  1. Global Sourcing Strategies Under Exchange Rate Uncertainty

    • Panos Kouvelis
    Pages 625-667

  2. Global Supply Chain Management: A Survey of Research and Applications

    • Morris A. Cohen, Arnd Huchzermeier
    Pages 669-702

  3. Managing Supply Chains in Emerging Markets

    • Alan Scheller-Wolf, Sridhar Tayur
    Pages 703-736

  4. Bottom-Up Vs. Top-Down Approaches to Supply Chain Modeling

    • Jeremy F. Shapiro
    Pages 737-759

  5. Inventory Planning in Large Assembly Supply Chains

    • Gerald E. Feigin
    Pages 761-787

  6. Managing Inventory for Fashion Products

    • Ananth Raman
    Pages 789-805

  7. Inventory Control for Joint Manufacturing and Remanufacturing

    • E. A. van der Laan, M. Fleischmann, R. Dekker, L. N. Van Wassenhove
    Pages 807-837

  8. A Taxonomic Review of Supply Chain Management Research

    • Ram Ganeshan, Eric Jack, Michael J. Magazine, Paul Stephens
    Pages 839-879

  9. Back Matter

    Pages 881-885
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Keywords

About this book

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.

Editors and Affiliations

  • Carnegie Mellon University, USA

    Sridhar Tayur

  • University of Cincinnati, USA

    Ram Ganeshan, Michael Magazine

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