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Artificial Intelligence in Reactive Scheduling

  • Book
  • © 1995

Overview

Editors:
  1. Roger Kerr

    1. School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, Australia

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  2. Elizabeth Szelke

    1. Computer and Automation Institute, Hungarian Academy of Sciences, Budapest, Hungary

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: IFIP Advances in Information and Communication Technology (IFIPAICT)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-vii
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  2. Directing an opportunist scheduler: an empirical investigation on reactive scenarios

    • G. Hasle, S. F. Smith
    Pages 1-11

  3. From reactive to active scheduling by using multi-agents

    • H. Henseler
    Pages 12-18

  4. REAKTION: a system for event independent reactive scheduling

    • H. Henseler
    Pages 19-31

  5. Case-based reactive scheduling

    • Jürgen Dorn
    Pages 32-50

  6. Online-algorithms for reactive vehicle scheduling

    • Günter Schmidt, Evelina Jacob
    Pages 51-59

  7. A blackboard based perspective of reactive scheduling

    • E. Szelke, G. Markus
    Pages 60-77

  8. A holistic control architecture infrastructure for dynamic scheduling

    • R. J. Rabelo, L. M. Camarinha-Matos
    Pages 78-94

  9. A knowledge-based tool for reactive scheduling

    • Damien Costello, Paddy Jordan, Jim Browne
    Pages 95-114

  10. Learning to schedule and unbalance production using simulation and rule induction

    • R. M. Kerr, D. Kibira
    Pages 115-128

  11. Experiments with a distributed architecture for predictive scheduling and execution monitoring

    • Claude Le Pape
    Pages 129-145

  12. Using neural networks for reactive scheduling

    • M. Garetti, M. Taisch
    Pages 146-155

  13. Knowledge acquisition for reactive scheduling

    • B. J. Garner, G. J. Ridley
    Pages 156-164

  14. Back Matter

    Pages 165-166
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Keywords

About this book

This volume encompasses state-of-the-art developments in AI-based reactive scheduling for real-time operation management in manufacturing shop floors. It is a collection of papers from the Second International Workshop of the IFIP Working Group 5.7 which brought together researchers from management information systems and knowledge engineering to expand the focus on applying new knowledge-based techniques.

Editors and Affiliations

  • School of Mechanical and Manufacturing Engineering, The University of New South Wales, Sydney, Australia

    Roger Kerr

  • Computer and Automation Institute, Hungarian Academy of Sciences, Budapest, Hungary

    Elizabeth Szelke

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