T�tulo: Average-Cost Control of Stochastic Manufacturing Systems (Stochastic Modelling and Applied Probability, 54)
Editor: Springer
Fecha de publicaci�n: 2005
Idioma: Ingl�s
ISBN 10: 0387219471
ISBN 13: 9780387219479
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

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Sinopsis

This book articulates a new theory that shows that hierarchical decision making can in fact lead to a near optimization of system goals. The material in the book cuts across disciplines. It will appeal to graduate students and researchers in applied mathematics, operations management, operations research, and system and control theory.

De la contraportada

This book is concerned with hierarchical control of manufacturing systems under uncertainty. It focuses on system performance measured in long-run average cost criteria, exploring the relationship between control problems with a discounted cost and that with a long-run average cost in connection with hierarchical control. A new theory is articulated that shows that hierarchical decision making in the context of a goal-seeking manufacturing system can lead to a near optimization of its objective. The approach in the book considers manufacturing systems in which events occur at different time scales.

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