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Efficient Production Planning and Scheduling

An Integrated Approach with Genetic Algorithms and Simulation

  • Textbook
  • © 1996

Overview

Authors:
  1. Patricia Jay Shiroma
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Part of the book series: Information Engineering und IV-Controlling (IEIVC)

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Table of contents (7 chapters)

  1. Front Matter

    Pages I-XIV
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  2. Introduction

    • Patricia Jay Shiroma
    Pages 1-31

  3. The Nature of Evolutionary Algorithms

    • Patricia Jay Shiroma
    Pages 33-42

  4. Theoretical Foundations of Genetic Algorithms

    • Patricia Jay Shiroma
    Pages 43-61

  5. Methodology

    • Patricia Jay Shiroma
    Pages 63-95

  6. Feasibility Study: A Hybrid Genetic Algorithm Embedded in AMTOS

    • Patricia Jay Shiroma
    Pages 97-103

  7. Case Study: Implementation of a Hybrid Genetic Algorithm for Production Planning in a Large Pharmaceutical Company

    • Patricia Jay Shiroma
    Pages 105-136

  8. Summary and Plans for Future Research

    • Patricia Jay Shiroma
    Pages 137-142

  9. Back Matter

    Pages 143-155
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Keywords

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.

About the author

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

  • Authors: Patricia Jay Shiroma

  • Series Title: Information Engineering und IV-Controlling

  • DOI: https://doi.org/10.1007/978-3-663-08438-9

  • Publisher: Deutscher Universitätsverlag Wiesbaden

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Fachmedien Wiesbaden 1996

  • Softcover ISBN: 978-3-8244-6426-5Published: 16 December 1996

  • eBook ISBN: 978-3-663-08438-9Published: 01 July 2013

  • Edition Number: 1

  • Number of Pages: XIV, 154

  • Number of Illustrations: 66 b/w illustrations

  • Topics: Operations Management

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