Analyzes decision problems in the management and engineering sciences. Divided into five parts, this book explores methodological issues, describes approaches to the model energy, applies quantitative techniques to problems in finance and economics, considers a series of problems in production systems, and covers game theory. Editor(s): Zaccour, Georges. Series: Advances in Computational Management Science. Num Pages: 421 pages, biography. BIC Classification: KC; KJMD; PBW. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 25. Weight in Grams: 796. . 2001. Hardback. . . . .

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Bibliographic Details

Title: Decision and Control in Management Science
Publisher: Kluwer Academic Publishers
Publication Date: 2001
Language: English
ISBN 10: 0792379373
ISBN 13: 9780792379379
Binding: Hardcover
Condition: New

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Synopsis

Decision & Control in Management Science analyzes emerging decision problems in the management and engineering sciences. It is divided into five parts. The first part explores methodological issues involved in the optimization of deterministic and stochastic dynamical systems. The second part describes approaches to the model energy and environmental systems and draws policy implications related to the mitigation of pollutants. The third part applies quantitative techniques to problems in finance and economics, such as hedging of options, inflation targeting, and equilibrium asset pricing. The fourth part considers a series of problems in production systems. Optimization methods are put forward to provide optimal policies in areas such as inventory management, transfer-line, flow-shop and other industrial problems. The last part covers game theory. Chapters range from theoretical issues to applications in politics and interactions in franchising systems.
Decision & Control in Management Science is an excellent reference covering methodological issues and applications in operations research, optimal control, and dynamic games.

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