Artificial Intelligence in Operational Research

  • Georgios I. Doukidis
  • Ray J. Paul
Book

Table of contents

  1. Front Matter
    Pages i-vii
    PDF

  2. Practical Experiences

    1. Front Matter
      Pages 1-1
      PDF
    2. Operational Research Participation in Artificial Intelligence: Practical Experiences
      Georgios I. Doukidis, Ray J. Paul
      Pages 3-7
    3. A Survey of the Application of Artificial Intelligence Techniques within the OR Society
      Georgios I. Doukidis, Ray J. Paul
      Pages 9-21
    4. From OR to Knowledge-based Systems: An Industrial Experience
      Helena Walters, Roger Schtaklef
      Pages 23-29
    5. A Five Hour Expert System Tutorial for Management Students
      P. N. Finlay, D. G. Johnson, M. King, C. J. Martin, G. J. Phythian
      Pages 31-44
    6. Experiences in Developing an Expert System for MBA Admissions
      Paul N. Finlay, Malcolm King
      Pages 45-55
    7. Exporting Know-how
      Jim Grassick
      Pages 57-59

  3. Application Areas

    1. Front Matter
      Pages 61-61
      PDF
    2. Combining Operational Research and Artificial Intelligence
      Georgios I. Doukidis, Ray J. Paul
      Pages 63-69
    3. An Artificial Intelligence Approach to Improving Computer Communications Network Topologies
      Samuel Pierre, Hai-Hoc Hoang
      Pages 71-84
    4. Multicriteria Analysis Represented by Artificial Intelligence Techniques
      Gabriella Balestra, Alexis TsoukiÀs
      Pages 85-96
    5. Using an Expert System to Monitor an Automatic Stock Control System
      J. C. Thorpe, A. Marr, R. S. Slack
      Pages 97-104
    6. Simple Expert Systems for Computer Assisted Instruction
      Malcolm King, Laurie McAulay
      Pages 105-113
    7. Fuzzy Ordinal Models for AI—OR
      I. B. Turksen
      Pages 115-126
    8. Administering Rule Development in Rule-based Expert Systems
      P. N. Finlay, Malcolm King, A. Burnett
      Pages 127-132

  4. Production Planning and Scheduling

    1. Front Matter
      Pages 133-133
      PDF
    2. Operational Research Approaches to Artificial Intelligence in Production Planning and Scheduling
      Ray J. Paul, Georgios I. Doukidis
      Pages 135-138
    3. The Scheduler’s Predictive Expertise: An Interdisciplinary Perspective
      K. N. McKay, J. A. Buzacott, N. Charness, F. R. Safayeni
      Pages 139-150
    4. A Knowledge-based Approach to Production Planning
      Peter Duchessi, Robert M. O’Keefe
      Pages 151-164

About this book

Keywords

artificial intelligence intelligence operational research scheduling simulation

Editors and affiliations

  • Georgios I. Doukidis
    • 1
  • Ray J. Paul
    • 2
  1. 1.Athens University of Economics and BusinessGreece
  2. 2.London School of Economics and Political ScienceUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-349-12362-9
  • Copyright Information Macmillan Publishers Limited 1992
  • Publisher Name Palgrave, London
  • eBook Packages Engineering
  • Print ISBN 978-1-349-12364-3
  • Online ISBN 978-1-349-12362-9
  • About this book
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