TY  - BOOK
AU  - Sethi,Suresh P.
AU  - Zhang,Hanqin
AU  - Zhang,Qing
ED  - SpringerLink (Online service)
TI  - Average-Cost Control of Stochastic Manufacturing Systems
T2  - Stochastic Modelling and Applied Probability,
SN  - 9780387276151
U1  - 519 23
PY  - 2005///
CY  - New York, NY
PB  - Springer New York
KW  - MATHEMATICS
KW  - SYSTEMS THEORY
KW  - DISTRIBUTION (PROBABILITY THEORY)
KW  - MECHANICAL ENGINEERING
KW  - INDUSTRIAL ENGINEERING
KW  - SYSTEMS THEORY, CONTROL
KW  - PROBABILITY THEORY AND STOCHASTIC PROCESSES
KW  - OPERATIONS RESEARCH/DECISION THEORY
KW  - INDUSTRIAL AND PRODUCTION ENGINEERING
N1  - 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
N2  - 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.
UR  - http://dx.doi.org/10.1007/0-387-27615-7
ER  -