Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 firms are complex systems characterized by sev eral decision subsystems, such as finance, personnel, marketing, and op erations. They may have several plants and warehouses and a wide variety of machines and equipment devoted to producing a large number of different products. Moreover, they are subject to deterministic as well as stochastic discrete events, such as purchasing new equipment, hiring and layoff of personnel, and machine setups, failures, and repairs. 440 pp. Englisch. N� de r�f. du vendeur 9781461266945

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Hierarchical Decision Making in Stochastic Manufacturing Systems

Sethi, Suresh P.

Edit� par Birkhauser 2012-09, 2012

ISBN 10 : 1461266947 ISBN 13 : 9781461266945

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Hierarchical Decision Making in Stochastic Manufacturing Systems: Foundations & Applications) (Systems & Control: Foundations & Applications)

Sethi, Suresh P. P.; Zhang, Qing

Edit� par Birkh�user, 2012

ISBN 10 : 1461266947 ISBN 13 : 9781461266945

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Hierarchical Decision Making in Stochastic Manufacturing Systems

Suresh P. Sethi|Qing Zhang

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 problem. N� de r�f. du vendeur 4189338

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Hierarchical Decision Making in Stochastic Manufacturing Systems

Qing Zhang

Edit� par Birkh�user Boston, 2012

ISBN 10 : 1461266947 ISBN 13 : 9781461266945

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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 firms are complex systems characterized by sev eral decision subsystems, such as finance, personnel, marketing, and op erations. They may have several plants and warehouses and a wide variety of machines and equipment devoted to producing a large number of different products. Moreover, they are subject to deterministic as well as stochastic discrete events, such as purchasing new equipment, hiring and layoff of personnel, and machine setups, failures, and repairs. N� de r�f. du vendeur 9781461266945

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Hierarchical Decision Making in Stochastic Manufacturing Systems

Suresh P. Sethi

Edit� par Springer-Verlag New York Inc., 2012

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Hierarchical Decision Making in Stochastic Manufacturing Systems

Qing Zhang Suresh P. Sethi

Edit� par Springer, 2012

ISBN 10 : 1461266947 ISBN 13 : 9781461266945

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Etat : New. pp. 440. N� de r�f. du vendeur 2648036094

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Hierarchical Decision Making in Stochastic Manufacturing Systems

Zhang Qing Sethi Suresh P.

Edit� par Springer, 2012

ISBN 10 : 1461266947 ISBN 13 : 9781461266945

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Etat : New. Print on Demand pp. 440 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. N� de r�f. du vendeur 44779297

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