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Intelligent Scheduling Systems

  • Donald E. Brown
  • William T. Scherer

Part of the Operations Research / Computer Science Interfaces Series book series (ORCS, volume 3)

Table of contents

  1. Front Matter
    Pages i-x
  2. Issues in Scheduling

    1. Donald E. Brown, John A. Marin, William T. Scherer
      Pages 1-40
    2. Kenneth N. McKay, Frank R. Safayeni, John A. Buzacott
      Pages 41-62
  3. Production Scheduling

    1. J. Wesley Barnes, Manuel Laguna, Fred Glover
      Pages 101-127
    2. Kevin Gary, Reha Uzsoy, Stephen P. Smith, Karl Kempf
      Pages 129-154
    3. Stephen F. Smith
      Pages 155-192
    4. Sang C. Park, Selwyn Piramuthu, Narayan Raman, Michael J. Shaw
      Pages 193-214
  4. Transportation Scheduling

    1. Rusty Burlingame, E. Andrew Boyd, Kenneth S. Lindsay
      Pages 215-226
    2. Ken Darby-Dowman, Cormac Lucas, Gautam Mitra, Raymond Fink, Leonard Kingsley, J. Walter Smith
      Pages 227-247
  5. Back Matter
    Pages 249-260

About this book

Introduction

Scheduling is a resource allocation problem which exists in virtually every type of organization. Scheduling problems have produced roughly 40 years of research primarily within the OR community. This community has traditionally emphasized mathematical modeling techniques which seek exact solutions to well formulated optimization problems. While this approach produced important results, many contemporary scheduling problems are particularly difficult. Hence, over the last ten years operations researchers interested in scheduling have turned increasingly to more computer intensive and heuristic approaches. At roughly the same time, researchers in AI began to focus their methods on industrial and management science applications. The result of this confluence of fields has been a period of remarkable growth and excitement in scheduling research.
Intelligent Scheduling Systems captures the results of a new wave of research at the forefront of scheduling research, of interest to researchers and practitioners alike. Presented are an array of the latest contemporary tools -- math modeling to tabu search to genetic algorithms -- that can assist in operational scheduling and solve difficult scheduling problems. The book presents the most recent research results from both operations research (OR) and artificial intelligence (AI) focusing their efforts on real scheduling problems.

Keywords

Manufacturing algorithms genetic algorithms modeling operations research optimization organization production scheduling

Editors and affiliations

  • Donald E. Brown
    • 1
  • William T. Scherer
    • 1
  1. 1.University of VirginiaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-2263-8
  • Copyright Information Kluwer Academic Publishers 1995
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5954-8
  • Online ISBN 978-1-4615-2263-8
  • Series Print ISSN 1387-666X
  • Buy this book on publisher's site