Most manufacturing systems are large, complex, and operate in an environment of uncertainty. It is common practice to manage such systems in a hierarchical fashion. 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.
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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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Bd. 54. 10 ills., XV, 324 p. Hardcover Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Stochstic Modelling and Applied Probability. Sprache: Englisch. Bestandsnummer des Verkäufers 6996AB
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Dura. Zustand: New. Zustand des Schutzumschlags: Nuevo. No Aplica (illustrator). 0. This book is concerned with production planning and control in manufacturing systems with machines subject to break-down and repair. The objective is to control the rate of production over time in order to meet the demand at a minimum long-run average cost. Increasingly complex and realistic models of manufacturing systems with failure-prone machines are formulated as stochastic optimal control problems. Partial characterization of their solutions are provided when possible along with their decomposition based on event frequencies. In the latter case, two-level decisions are contructed which are shown to be asympotically optimal as the average time between sucessive short-term events becomes mucho smaller than that between successive long-term events. The striking novelty of this approach is that this is donde without solving for the optimal solution, wich is an insurmountable task. The material covered in the book cuts across he disciplines of Applied Mathematics, Operations Management, Operations Research, and System and Control Theory. It is written for operations researchers, system and control theorists, applied mathematicians, operations management specialists, and industrial engineers. 600 gr. Libro. Bestandsnummer des Verkäufers 9780387219479LEA45898
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