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Sethi, Suresh P.; Zhang, Qing. Ed(S): Kostant, A. - Hierarchical Decision Making in Stochastic Manufacturing Systems - 9780817637354 - V9780817637354
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Hierarchical Decision Making in Stochastic Manufacturing Systems

€ 129.76
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Description for Hierarchical Decision Making in Stochastic Manufacturing Systems hardcover. This text presents an approach to manufacturing systems that is grounded in ideas from economics and control theory. It cuts across the disciplines of operations management, operations research, system and control theory, industrial engineering, probability and statistics and applied maths. Editor(s): Kostant, A. Series: Systems & Control: Foundations and Applications. Num Pages: 438 pages, biography. BIC Classification: PBWL; TBJ; TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 25. Weight in Grams: 796.
One of the most important methods in dealing with the optimization of large, complex systems is that of hierarchical decomposition. The idea is to reduce the overall complex problem into manageable approximate problems or subproblems, to solve these problems, and to construct a solution of the original problem from the solutions of these simpler prob­ lems. Development of such approaches for large complex systems has been identified as a particularly fruitful area by the Committee on the Next Decade in Operations Research (1988) [42] as well as by the Panel on Future Directions in Control Theory (1988) [65]. Most manufacturing ... Read more

Product Details

Format
Hardback
Publication date
1994
Publisher
Birkhauser Boston Inc United States
Number of pages
438
Condition
New
Series
Systems & Control: Foundations and Applications
Number of Pages
422
Place of Publication
Secaucus, United States
ISBN
9780817637354
SKU
V9780817637354
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Hierarchical Decision Making in Stochastic Manufacturing Systems
"This monograph is both a well-prepared report about brand-new results of recent research and a very nicely and carefully written (graduate) textbook on the field of stochastic manufacturing systems.  It is recommendable to operations researchers and system theorists as well as to applied mathematicians." —Optimization "A truly remarkable book, in which Sethi and Zhang have contributed enormously ... Read more

Goodreads reviews for Hierarchical Decision Making in Stochastic Manufacturing Systems


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