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Inventory Control

Models and Methods

  • Book
  • © 1992

Overview

Authors:
  1. Dieter Bartmann

    1. Institute of Information Management, University of St. Gallen for Business, Administration, Economics, Law and Social Sciences, St. Gallen, Switzerland

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  2. Martin J. Beckmann

    1. Institute of Applied Mathematics and Statistics, Technical University of Munich, München 2, Germany

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    You can also search for this author in PubMed   Google Scholar

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

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Table of contents (6 chapters)

  1. Front Matter

    Pages I-XV
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  2. Deterministic Inventory Models

    • Dieter Bartmann, Martin J. Beckmann
    Pages 1-55

  3. The Wilson Model with Poisson Demand

    • Dieter Bartmann, Martin J. Beckmann
    Pages 56-90

  4. Stochastic Single Period Models

    • Dieter Bartmann, Martin J. Beckmann
    Pages 91-113

  5. Stochastic Models with Continuous Review

    • Dieter Bartmann, Martin J. Beckmann
    Pages 114-146

  6. Stochastic Models with Periodic Review

    • Dieter Bartmann, Martin J. Beckmann
    Pages 147-217

  7. Numerical Methods

    • Dieter Bartmann, Martin J. Beckmann
    Pages 218-245

  8. Back Matter

    Pages 245-256
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Keywords

About this book

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.

Authors and Affiliations

  • Institute of Information Management, University of St. Gallen for Business, Administration, Economics, Law and Social Sciences, St. Gallen, Switzerland

    Dieter Bartmann

  • Institute of Applied Mathematics and Statistics, Technical University of Munich, München 2, Germany

    Martin J. Beckmann

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