Average-Cost Control of Stochastic Manufacturing Systems

This book articulates a new theory that shows that hierarchical decision making in manufacturing systems can lead to a near optimization of system goals. It will appeal to graduate students and researchers in applied mathematics, operations management, operations research, and systems and control theory.

From the reviews of the first edition:

"This book is a study on the optimal control of manufacturing systems subject to breakdowns and repairs. Six appendices provide mathematical technical support. 153 references are given. There is an author index as well as a subject index. This book is a useful reference on the stochastic optimal control of manufacturing systems and is recommended." (A. Akutowicz, Zentralblatt MATH, Vol. 1078, 2006)

"The book under review is concerned with systems that consist of machines subjects to breakdown and repair . The book is written for applied mathematics, operations researchers, as well as practitioners working in manufacturing. In summary, this is an excellent book devoted to a fast growing area, which has significant impact on the economy. It is conceivable that this book will further stimulate subsequent research in production planning as well as in systems theory and stochastic control." (George Yin, Mathematical Reviews, Issue 2005 k)

Klappentext

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.

Inhalt
and Models of Manufacturing Systems.- Concept of NearOptimal Control.- Models of Manufacturing Systems.- Optimal Control of Manufacturing Systems: Existence and Characterization.- Optimal Control of ParallelMachine Systems.- Optimal Control of Dynamic Flowshops.- Optimal Controls of Dynamic Jobshops.- Risk-Sensitive Control.- NearOptimal Controls.- NearOptimal Control of ParallelMachine Systems.- NearOptimal Control of Dynamic Flowshops.- NearOptimal Controls of Dynamic Jobshops.- NearOptimal RiskSensitive Control.- Conclusions.- Further Extensions and Open Research Problems.