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© 2002

Project Scheduling with Time Windows

From Theory to Applications

Book

Part of the Contributions to Management Science book series (MANAGEMENT SC.)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Ulrich Dorndorf
    Pages 1-5
  3. Ulrich Dorndorf
    Pages 7-18
  4. Ulrich Dorndorf
    Pages 19-30
  5. Ulrich Dorndorf
    Pages 31-65
  6. Ulrich Dorndorf
    Pages 67-101
  7. Ulrich Dorndorf
    Pages 109-141
  8. Ulrich Dorndorf
    Pages 143-146
  9. Back Matter
    Pages 147-166

About this book

Introduction

Project Scheduling is concerned with the allocation of scarce resources over time. The rich optimisation models with time windows that are treated in this book cover a multitude of practical decision problems arising in diverse application areas such as construction engineering or make-to-order production planning.
The book shows how Constraint Propagation techniques from Artificial Intelligence can be successfully combined with Operations Research methods for developing powerful exact and heuristic solution algorithms for a very general class of scheduling problems. Example applications demonstrate the effectiveness of the approach.

Keywords

Constaint Propagation Extension Motivation Multi-Mode Scheduling Project Scheduling Time Windows algorithms artificial intelligence constraint satisfaction decision problem intelligence operations research optimization scheduling

Authors and affiliations

  1. 1.INFORM — Institut für Operations Research und Management GmbHAachenGermany

Bibliographic information

  • Book Title Project Scheduling with Time Windows
  • Book Subtitle From Theory to Applications
  • Authors Ulrich Dorndorf
  • Series Title Contributions to Management Science
  • DOI https://doi.org/10.1007/978-3-642-57506-8
  • Copyright Information Physica-Verlag Heidelberg 2002
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Softcover ISBN 978-3-7908-1516-0
  • eBook ISBN 978-3-642-57506-8
  • Series ISSN 1431-1941
  • Edition Number 1
  • Number of Pages X, 166
  • Number of Illustrations 0 b/w illustrations, 0 illustrations in colour
  • Topics Organization
    Operations Research/Decision Theory
    Artificial Intelligence
  • Buy this book on publisher's site