Average—Cost Control of Stochastic Manufacturing Systems
Sethi, Suresh P.
Average—Cost Control of Stochastic Manufacturing Systems [electronic resource] / by Suresh P. Sethi, Hanqin Zhang, Qing Zhang. - XVI, 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
10.1007/0-387-27615-7 doi
Business.
Leadership.
Production management.
Operations research.
Decision making.
Applied mathematics.
Engineering mathematics.
System theory.
Probabilities.
Business and Management.
Operations Management.
Business Strategy/Leadership.
Applications of Mathematics.
Systems Theory, Control.
Probability Theory and Stochastic Processes.
Operation Research/Decision Theory.
TS155-TS194
658.5
Average—Cost Control of Stochastic Manufacturing Systems [electronic resource] / by Suresh P. Sethi, Hanqin Zhang, Qing Zhang. - XVI, 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
10.1007/0-387-27615-7 doi
Business.
Leadership.
Production management.
Operations research.
Decision making.
Applied mathematics.
Engineering mathematics.
System theory.
Probabilities.
Business and Management.
Operations Management.
Business Strategy/Leadership.
Applications of Mathematics.
Systems Theory, Control.
Probability Theory and Stochastic Processes.
Operation Research/Decision Theory.
TS155-TS194
658.5