Average-Cost Control of Stochastic Manufacturing Systems [recurso electrónico] /
by Suresh P. Sethi, Hanqin Zhang, Qing Zhang.
- XV, 324 p. online resource.
- Stochastic Modelling and Applied Probability, 54 0172-4568 ; .
- Stochastic Modelling and Applied Probability, 54 .
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.
9780387276151 99780387276151
10.1007/0-387-27615-7 doi
MATHEMATICS. SYSTEMS THEORY. DISTRIBUTION (PROBABILITY THEORY). MECHANICAL ENGINEERING. INDUSTRIAL ENGINEERING. MATHEMATICS. SYSTEMS THEORY, CONTROL. PROBABILITY THEORY AND STOCHASTIC PROCESSES. OPERATIONS RESEARCH/DECISION THEORY. INDUSTRIAL AND PRODUCTION ENGINEERING. MECHANICAL ENGINEERING.