Average—Cost Control of Stochastic Manufacturing Systems [electronic resource] / by Suresh P. Sethi, Hanqin Zhang, Qing Zhang.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
Item type | Current library | Call number | Status | Date due | Barcode |
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Bangalore University Library | Available | BUSP000437 |
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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