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Table of contents

  1. Front Matter
    Pages i-xxiv
  2. Bodhibrata Nag, Katta G. Murty
    Pages 17-33
  3. Gemma Berenguer, Amber Richter, Zuo-Jun (Max) Shen
    Pages 111-128
  4. G. S. R. Murthy, Katta G. Murty, G. Raghupathy
    Pages 129-165
  5. Alberto Borghetti, Claudia D’Ambrosio, Andrea Lodi, Silvano Martello
    Pages 167-181
  6. Cristiana Bragalli, Claudia D’Ambrosio, Jon Lee, Andrea Lodi, Paolo Toth
    Pages 183-198
  7. G. S. R. Murthy, A. L. N. Murthy, Katta G. Murty
    Pages 199-216
  8. Majid M. Al-Gwaiz, Katta G. Murty
    Pages 217-296
  9. G. S. R. Murthy, A. L. N. Murthy, Katta G. Murty
    Pages 297-314
  10. Dag Haugland, Bjørn Peter Tjøstheim
    Pages 315-336
  11. Wesley Cole, JongSuk Kim, Kriti Kapoor, Thomas Edgar
    Pages 337-353
  12. Harris McClamroch, Taeyoung Lee
    Pages 355-390
  13. Katta G. Murty, Bodhibrata Nag, Omkar D. Palsule-Desai
    Pages 391-411
  14. G. S. R. Murthy, Katta G. Murty
    Pages 413-430
  15. Harshal Lowalekar, N. Ravichandran
    Pages 431-464
  16. G. S. R. Murthy, Katta G. Murty
    Pages 465-477
  17. Daniel Karapetyan, Snezana Mitrovic-Minic, Krishna T. Malladi, Abraham P. Punnen
    Pages 497-516
  18. Daniel Karapetyan, Abraham P. Punnen
    Pages 517-537
  19. Back Matter
    Pages 539-543

About this book

Introduction

This textbook is comprised of detailed case studies covering challenging real world applications of OR techniques. Among the overall goals of the book is to provide readers with descriptions of the history and other background information on a variety of industries, service or other organizations in which decision making is an important component of their daily operations. The book considers all methods of optimum decision making in order to improve performances. It also compares possible solutions obtained by different approaches, concluding with a recommendation of the best among them for implementation. By exposing students to a variety of applications in a variety of areas and explaining how they can be modeled and solved, the book helps students develop the skills needed for modeling and solving problems that they may face in the workplace.

Each chapter of "Case Studies in Operations Research: Applications of Optimal Decision Making" also includes additional data provided on the book’s website on Springer.com. These files contain a brief description of the area of application, the problem and the required outputs. Also provided are links to access all the data in the problem. Finally there are project exercises for students to practice what they have learnt in the chapter, which can also be used by instructors as project assignments in their courses.

Keywords

Case Studies Decision Making Mathematical Modeling Mathematical Programming Operations Research Optimization Models

Editors and affiliations

  • Katta G. Murty
    • 1
  1. 1.Department Industrial and Operations EngineeringUniversity of MichiganAnn ArborUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-1007-6
  • Copyright Information Springer Science+Business Media New York 2015
  • Publisher Name Springer, New York, NY
  • eBook Packages Business and Economics
  • Print ISBN 978-1-4939-1006-9
  • Online ISBN 978-1-4939-1007-6
  • Series Print ISSN 0884-8289
  • Series Online ISSN 2214-7934
  • Buy this book on publisher's site