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Case Studies in Operations Research 2015th Edition

Case Studies in Operations Research 2015th Edition

Case Studies in Operations Research Applications of Optimal Decision Making 2015th Edition 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.

You can also read Operations Research Applications 1st Edition

Each chapter of “Case Studies in Operations Research: Applications of Optimal Decision Making” also includes additional data provided on the book’s website on 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.

Case Studies in Operations Research Applications Product details

  • Series: International Series in Operations Research & Management Science (Book 212)Case Studies in Operations Research
  • Hardcover: 543 pages
  • Publisher: Springer; 2015 edition (December 9, 2014)
  • Language: English
  • ISBN-10: 149391006X
  • ISBN-13: 978-1493910069
  • Product Dimensions: 6.1 x 1.2 x 9.2 inches
  • Shipping Weight: 2.1 pounds

Solving a decision making problem optimally involves the following steps: (1) Construct an appropriate mathematical model for it, (2) then select an efficient algorithm for solving that model, and also (3) finally implement the solution obtained by the algorithm.



Case Studies in Operations Research 2015th Edition

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