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AverageCost Control of Stochastic Manufacturing Systems [electronic resource] / by Suresh P. Sethi, Hanqin Zhang, Qing Zhang.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Stochastic Modelling and Applied Probability ; 54 | Stochastic Modelling and Applied Probability ; 54Editor: New York, NY : Springer New York, 2005Descripción: XVI, 324 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9780387276151
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 519 23
Clasificación LoC:
  • Q295
  • QA402.3-402.37
Recursos en línea:
Contenidos:
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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and Models of Manufacturing Systems -- Concept of NearOptimal Control -- Models of Manufacturing Systems -- Optimal Control of Manufacturing Systems: Existence and Characterization -- Optimal Control of ParallelMachine Systems -- Optimal Control of Dynamic Flowshops -- Optimal Controls of Dynamic Jobshops -- Risk-Sensitive Control -- NearOptimal Controls -- NearOptimal Control of ParallelMachine Systems -- NearOptimal Control of Dynamic Flowshops -- NearOptimal Controls of Dynamic Jobshops -- NearOptimal RiskSensitive 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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