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Artificial Intelligence in Reactive Scheduling

A volume based on the IFIP SIG Second Workshop on Knowledge-based Reactive Scheduling, Budapest, Hungary, June 1994

  • Roger Kerr
  • Elizabeth Szelke

Table of contents

  1. Front Matter
    Pages i-vii
  2. Jürgen Dorn
    Pages 32-50
  3. Günter Schmidt, Evelina Jacob
    Pages 51-59
  4. R. J. Rabelo, L. M. Camarinha-Matos
    Pages 78-94
  5. Damien Costello, Paddy Jordan, Jim Browne
    Pages 95-114
  6. M. Garetti, M. Taisch
    Pages 146-155
  7. B. J. Garner, G. J. Ridley
    Pages 156-164
  8. Back Matter
    Pages 165-166

About this book

Introduction

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.

Keywords

Manufacturing algorithms artificial intelligence information system intelligence knowledge engineering learning

Editors and affiliations

  • Roger Kerr
    • 1
  • Elizabeth Szelke
    • 2
  1. 1.School of Mechanical and Manufacturing EngineeringThe University of New South WalesSydneyAustralia
  2. 2.Computer and Automation InstituteHungarian Academy of SciencesBudapestHungary

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-34928-2
  • Copyright Information Springer-Verlag US 1995
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-5041-2889-6
  • Online ISBN 978-0-387-34928-2
  • Series Print ISSN 1868-4238
  • Series Online ISSN 1868-422X
  • Buy this book on publisher's site