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Stochastic Modelling in Innovative Manufacturing

Proceedings, Cambridge, U.K., July 21–22, 1995

  • Anthony H. Christer
  • Shunji Osaki
  • Lyn C. Thomas

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 445)

Table of contents

  1. Front Matter
    Pages I-X
  2. Masaaki Kijima, Akihisa Tamura
    Pages 19-29
  3. Qun Jin, Yoneo Yano, Yoshio Sugasawa
    Pages 46-57
  4. Yoshinobu Teraoka, Yasuyoshi Yamada
    Pages 58-67
  5. Krzysztof Szajowski, Masami Yasuda
    Pages 68-80
  6. Tadashi Dohi, Takashi Aoki, Naoto Kaio, Shunji Osaki
    Pages 166-187
  7. Takashi Satow, Toshio Nakagawa
    Pages 188-195
  8. A. H. Christer, W. Wang, J. M. Sharp, R. D. Baker
    Pages 196-214
  9. J. I. Ansell, J. Quigley, L. A. Walls
    Pages 225-235
  10. Kodo Ito, Kazuyuki Teramoto, Toshio Nakagawa
    Pages 236-245
  11. Koichi Tokuno, Shigeru Yamada
    Pages 246-256
  12. Satoshi Fukumoto, Itsuki Hayashi, Naohiro Ishii, Toshio Nakagawa
    Pages 281-291
  13. Tadashi Dohi, Masaaki Hatakeyama, Shunji Osaki
    Pages 337-347
  14. Kakuro Amasaka, Masamori Ihara
    Pages 348-353
  15. Masamori Ihara, Kakuro Amasaka
    Pages 354-361

About these proceedings

Introduction

This monograph contains some ofthe papers presented at a UK-Japanese Workshop on Stochastic Modelling in Innovative Manufacturing held at Churchill College, Cambridge on July 20 and 21st 1995, sponsored jointly by the UK Engineering and Physical Science Research Council and the British Council. Attending were 19 UK and 24 Japanese delegates representing 28 institutions. The aim of the workshop was to discuss the modelling work being done by researchers in both countries on the new activities and challenges occurring in manufacturing. These challenges have arisen because of the increasingly uncertain environment of modern manufacturing due to the commercial need to respond more quickly to customers demands, and the move to just-in-time manufacturing and flexible manufacturing systems and the increasing requirements for quality. As well as time pressure, the increasing importance of the quality of the products, the need to hold the minimum stock of components, and the importance of reliable production systems has meant that manufacturers need to design production systems that perform well in randomly varying conditions and that their operating procedures can respond to changes in conditions and requirements. This has increased the need to understand how manufacturing systems work in the random environments, and so emphasised the importance of stochastic models of such systems.

Keywords

Manufacturing Manufacturing Reliability Markov decision process Stochastic Modelling Stochastische Modelierung industrielle Produktion

Editors and affiliations

  • Anthony H. Christer
    • 1
  • Shunji Osaki
    • 2
  • Lyn C. Thomas
    • 3
  1. 1.Department of Mathematics and Computer ScienceUniversity of SalfordLancs.UK
  2. 2.Department of Industrial and Systems EngineeringHiroshima UniversityHigashi-HiroshimaJapan
  3. 3.Department of Business StudiesThe University of EdinburghEdinburghUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-59105-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 1997
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-61768-6
  • Online ISBN 978-3-642-59105-1
  • Series Print ISSN 0075-8442
  • Buy this book on publisher's site
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