Average-Cost Control of Stochastic Manufacturing Systems [recurso electrónico] / by Suresh P. Sethi, Hanqin Zhang, Qing Zhang.
Tipo de material:
TextoSeries Stochastic Modelling and Applied Probability ; 54Editor: New York, NY : Springer New York, 2005Descripción: XV, 324 p. online resourceTipo de contenido: - text
- computer
- recurso en línea
- 9780387276151
- 99780387276151
- 519 23
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
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Libros electrónicos
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CICY Libro electrónico | Libro electrónico | 519 (Browse shelf(Opens below)) | Available |
and Models of Manufacturing Systems -- Concept of Near-Optimal Control -- Models of Manufacturing Systems -- Optimal Control of Manufacturing Systems: Existence and Characterization -- Optimal Control of Parallel-Machine Systems -- Optimal Control of Dynamic Flowshops -- Optimal Controls of Dynamic Jobshops -- Risk-Sensitive Control -- Near-Optimal Controls -- Near-Optimal Control of Parallel-Machine Systems -- Near-Optimal Control of Dynamic Flowshops -- Near-Optimal Controls of Dynamic Jobshops -- Near-Optimal Risk-Sensitive Control -- Conclusions -- Further Extensions and Open Research Problems.
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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