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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.




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. 




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. 


Content:
Front Matter....Pages i-xv
Concept of Near—Optimal Control....Pages 3-10
Models of Manufacturing Systems....Pages 11-19
Optimal Control of Parallel—Machine Systems....Pages 23-65
Optimal Control of Dynamic Flowshops....Pages 67-95
Optimal Controls of Dynamic Jobshops....Pages 97-124
Risk-Sensitive Control....Pages 125-142
Near—Optimal Control of Parallel—Machine Systems....Pages 145-170
Near—Optimal Control of Dynamic Flowshops....Pages 171-198
Near—Optimal Controls of Dynamic Jobshops....Pages 199-226
Near—Optimal Risk—Sensitive Control....Pages 227-237
Further Extensions and Open Research Problems....Pages 241-245
Back Matter....Pages 247-324


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. 


Content:
Front Matter....Pages i-xv
Concept of Near—Optimal Control....Pages 3-10
Models of Manufacturing Systems....Pages 11-19
Optimal Control of Parallel—Machine Systems....Pages 23-65
Optimal Control of Dynamic Flowshops....Pages 67-95
Optimal Controls of Dynamic Jobshops....Pages 97-124
Risk-Sensitive Control....Pages 125-142
Near—Optimal Control of Parallel—Machine Systems....Pages 145-170
Near—Optimal Control of Dynamic Flowshops....Pages 171-198
Near—Optimal Controls of Dynamic Jobshops....Pages 199-226
Near—Optimal Risk—Sensitive Control....Pages 227-237
Further Extensions and Open Research Problems....Pages 241-245
Back Matter....Pages 247-324
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