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Supply Chain Optimization

  • Joseph Geunes
  • Panos M. Pardalos

Part of the Applied Optimization book series (APOP, volume 98)

Table of contents

  1. Front Matter
    Pages i-x
  2. Kevin F. McCardle, Kumar Rajaram, Christopher S. Tang
    Pages 51-85
  3. Alexandra M. Newman, Candace A. Yano, Philip M. Kaminsky
    Pages 87-122
  4. Wei-yu Kevin Chiang, Dilip Chhajed
    Pages 145-168
  5. John J. Bartholdi III, Eda Kemahlioğlu-Ziya
    Pages 169-208
  6. Michael S. Pangburn, Euthemia Stavrulaki
    Pages 209-241
  7. Alan Dormer, Alkis Vazacopoulos, Nitin Verma, Horia Tipi
    Pages 307-354
  8. Yong-Leong Cheng, Hock-Chan Sen, Karthik Natarajan, Chung-Piaw Teo, Kok-Choon Tan
    Pages 355-389

About this book

Introduction

Supply Chain Optimization captures the latest results in a segment of current research activity in supply chain management. This research area focuses on applying optimization techniques to supply chain management problems. The research papers that make up the volume provide a snapshot of state-of-the-art optimization methods within the field. This book presents rigorous modelling approaches for supply chain operations problems with a goal of improving supply chain performance (or the performance of some segment thereof). It contains high-quality works from leading researchers in the field whose expertise fits within this scope. The book provides a diverse blend of research topics and novel modelling and solution approaches for difficult classes of supply chain operations, planning, and design problems.

 

Audience

This book is intended for

 • researchers in supply chain management, applied operations research, and optimization;

 • industry practitioners in supply chain management with interests in operations management and operations research;  

 • graduate students in supply chain management and optimization-related disciplines.

Keywords

Analysis Logistics Logistics Planning Optimization Methods Stochastic Programming Supply Chains distribution modeling optimization scheduling supply chain performance

Editors and affiliations

  • Joseph Geunes
    • 1
  • Panos M. Pardalos
    • 1
  1. 1.University of FloridaGainesvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/b137269
  • Copyright Information Springer Science+Business Media, Inc. 2005
  • Publisher Name Springer, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-26280-2
  • Online ISBN 978-0-387-26281-9
  • Series Print ISSN 1384-6485
  • Buy this book on publisher's site
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