© 2002

Operations Research/Management Science at Work

  • Editors
  • Erhan Kozan
  • Azuma Ohuchi

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 43)

Table of contents

  1. Front Matter
    Pages i-x
  2. Gianpaolo Ghiani, Alain Hertz, Gilbert Laporte
    Pages 1-20
  3. Robert Burdett, Erhan Kozan
    Pages 21-40
  4. Hidenori Kawamura, Masahito Yamamoto, Azuma Ohuchi
    Pages 41-52
  5. I. Ouveysi, L. Sesana, A. Wirth
    Pages 53-70
  6. Hussein A. Abbass, Michael Towsey, Erhan Kozan, Julius Van der Werf
    Pages 71-91
  7. Ryan McAllister, Michael Bulmer
    Pages 93-109
  8. Ahmad Jan, Masahito Yamamoto, Azuma Ohuchi
    Pages 149-161
  9. M. Lake, L. Ferreira, E. Kozan
    Pages 177-187
  10. Keiko Motoyama, Keiji Suzuki, Hidenori Kawamura, Masahito Yamamoto, Azuma Ohuchi
    Pages 205-213
  11. Hajime Saito, Azuma Ohuchi, Takashi Maeda
    Pages 215-226
  12. Keiji Tatsumi, Tetsuzo Tanino, Masao Fukushima
    Pages 227-242
  13. L. Churilov, M. Sniedovich
    Pages 299-315

About this book


The principle aim of this book, entitled "Operations ResearchlManagement Science at Work", is to provide a summary snapshot of recent research in and applications of Operations Research (OR)/ Management Science (MS) in the Asia-pacific region. The book emphasises research having potential industry interest, covering a wide range of topics from major fields of ORIMS in a systematic and coherent fashion and shows the elegance of their implementations. The book is intended to serve the needs of applied researchers who are interested in applications of ORIMS algorithms. The book includes descriptions of many real-world problems together with their solutions; we hope the reader will appreciate their applicability. The Asia-pacific region has embraced business applications of decision support systems in recent years. Given that many of these applications are unaffected by legacy models or systems it has meant that state of the art ORIMS techniques have been embedded in them. Moreover, the increased use of OR/MS techniques in this region provides opportunities for identifying methodological advances that are taking place as a result of the unique nature of the applications. These also provide opportunities for exploring synergies and interfaces that exist between OR/MS, from the point of view of applications as well as theoretical advances.


Analysis Markov Chain algorithms design genetic algorithms learning logistics modeling operational research operations research optimization production programming scheduling

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