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Average-Cost Control of Stochastic Manufacturing Systems [recurso electrónico] / by Suresh P. Sethi, Hanqin Zhang, Qing Zhang.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Stochastic Modelling and Applied Probability ; 54Editor: New York, NY : Springer New York, 2005Descripción: XV, 324 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • recurso en línea
ISBN:
  • 9780387276151
  • 99780387276151
Tema(s): Formatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD:
  • 519 23
Recursos en línea:
Contenidos:
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.
En: Springer eBooksResumen: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode
Libros electrónicos Libros electrónicos 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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