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Introduction to Computational Optimization Models for Production Planning in a Supply Chain

  • Stefan Voß
  • David L. Woodruff
Book

Table of contents

  1. Front Matter
    Pages i-x
  2. Stefan Voß, David L. Woodruff
    Pages 1-6
  3. Stefan Voß, David L. Woodruff
    Pages 7-18
  4. Stefan Voß, David L. Woodruff
    Pages 19-29
  5. Stefan Voß, David L. Woodruff
    Pages 31-43
  6. Stefan Voß, David L. Woodruff
    Pages 45-57
  7. Stefan Voß, David L. Woodruff
    Pages 59-78
  8. Stefan Voß, David L. Woodruff
    Pages 79-131
  9. Stefan Voß, David L. Woodruff
    Pages 133-158
  10. Stefan Voß, David L. Woodruff
    Pages 159-179
  11. Stefan Voß, David L. Woodruff
    Pages 181-214
  12. Back Matter
    Pages 215-233

About this book

Introduction

 The book begins with an easy-to-read  introduction to the concepts associated with the creation of optimization models for production planning. These concepts are then applied to well-known planning models, namely mrp and MRP II.

From this foundation, fairly sophisticated models for supply chain management are developed. Another unique feature is that models are developed with an eye toward implementation. In fact, there is a chapter that provides explicit examples of implementation of the basic models using a variety of popular, commercially available modeling languages.

 

Keywords

Linear Programming Modeling Languages Planning linear optimization modeling modeling language optimization production production planning programming service-oriented computing supply chain supply chain management

Authors and affiliations

  • Stefan Voß
    • 1
  • David L. Woodruff
    • 2
  1. 1.Institut für WirtschaftsinformatikUniversität HamburgHamburgGermany
  2. 2.UC DavisGraduate School of ManagementDavisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-24764-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-22054-2
  • Online ISBN 978-3-540-24764-7
  • Buy this book on publisher's site
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