© 1996

Efficient Production Planning and Scheduling

An Integrated Approach with Genetic Algorithms and Simulation

  • Authors

Part of the Information Engineering und IV-Controlling book series (IEIVC)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Patricia Jay Shiroma
    Pages 1-31
  3. Patricia Jay Shiroma
    Pages 33-42
  4. Patricia Jay Shiroma
    Pages 43-61
  5. Patricia Jay Shiroma
    Pages 63-95
  6. Patricia Jay Shiroma
    Pages 137-142
  7. Back Matter
    Pages 143-155

About this book


Genetic algorithms refer to a class of optimization methods based on principles of natural selection and evolution. Although there have been a number of successful implementations in scientific and engineering applications, up until now there have been relatively few applications in the business world. Patricia Shiroma explores the possibility of combining genetic algorithms with simulation studies in order to generate efficient production schedules for parallel manufacturing processes. The author takes advantage of the synergistic effects between the two methods. The result is a flexible, highly effective production scheduling system which is tested in a case study.


Fertigung Information Engineering und IV-Controlling Scheduling genetische Algorithmen production planning

About the authors

Dr. Patricia Jay Shiroma ist seit Dezember 1992 als Assistentin am Lehrstuhl von Prof. G. Niemeyer an der Universität Regensburg im Bereich Wirtschaftsinformatik tätig.

Bibliographic information

  • Book Title Efficient Production Planning and Scheduling
  • Book Subtitle An Integrated Approach with Genetic Algorithms and Simulation
  • Series Title Information Engineering und IV-Controlling
  • DOI
  • Copyright Information Gabler Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden 1996
  • Publisher Name Deutscher Universitätsverlag, Wiesbaden
  • eBook Packages Springer Book Archive
  • Softcover ISBN 978-3-8244-6426-5
  • eBook ISBN 978-3-663-08438-9
  • Edition Number 1
  • Number of Pages XIV, 154
  • Number of Illustrations 66 b/w illustrations, 0 illustrations in colour
  • Topics Operations Management
  • Buy this book on publisher's site
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