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 AV - TS155-TS194 U1 - 658.5 23 PY - 2005/// CY - New York, NY PB - Springer New York KW - Business KW - Leadership KW - Production management KW - Operations research KW - Decision making KW - Applied mathematics KW - Engineering mathematics KW - System theory KW - Probabilities KW - Business and Management KW - Operations Management KW - Business Strategy/Leadership KW - Applications of Mathematics KW - Systems Theory, Control KW - Probability Theory and Stochastic Processes KW - Operation Research/Decision Theory 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 -