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Inventory Control

Models and Methods

  • Dieter Bartmann
  • Martin J. Beckmann

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 388)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Dieter Bartmann, Martin J. Beckmann
    Pages 1-55
  3. Dieter Bartmann, Martin J. Beckmann
    Pages 56-90
  4. Dieter Bartmann, Martin J. Beckmann
    Pages 91-113
  5. Dieter Bartmann, Martin J. Beckmann
    Pages 114-146
  6. Dieter Bartmann, Martin J. Beckmann
    Pages 147-217
  7. Dieter Bartmann, Martin J. Beckmann
    Pages 218-245
  8. Back Matter
    Pages 245-256

About this book

Introduction

Experts in operations research and developers of software application systems have been treading separate paths for many years. It is urgently necessary to reset this course so that the demanding requirements of variousCIM concepts can be realized. This is specially relevant for computer-based stock management. Both authors, with a number of years of practical experience behind them, have written this book with this objective in mind. The book shows how modern inventory control can be rationally structured with the help of OR. Two aspects are given importance:1) the necessary mathematical derivations are completely explained in detail so that the reader will be able to optimally handle a given situation with the help of the methods learned in this book, and 2) aside from the models, strong emphasis is given on numerical methods. Suitable algorithms are thoroughly explained for the more important cases.

Keywords

Data Processing in Industries Industrielle Datenverarbeitung Inventory Control Lagerhaltung Stochastische Programmierung algorithms control linear optimization operations research programming reading stochastic programming

Authors and affiliations

  • Dieter Bartmann
    • 1
  • Martin J. Beckmann
    • 2
  1. 1.Institute of Information ManagementUniversity of St. Gallen for Business, Administration, Economics, Law and Social SciencesSt. GallenSwitzerland
  2. 2.Institute of Applied Mathematics and StatisticsTechnical University of MunichMünchen 2Germany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-87146-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 1992
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-55820-0
  • Online ISBN 978-3-642-87146-7
  • Series Print ISSN 0075-8442
  • Buy this book on publisher's site