Average-Cost Control of Stochastic Manufacturing Systems

Suresh P. Sethi, Han-Qin Zhang, Qing Zhang

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English

Springer Verlag
01 June 2005

Cybernetics & systems theory; Business strategy; Management & management techniques; Management of specific areas; Mathematics & Sciences; Probability & statistics; Applied mathematics; Mechanical engineering

Series: Stochastic Modelling and Applied Probability

Most manufacturing systems are large, complex, and operate in an environment of uncertainty. It is common practice to manage such systems in a hierarchical fashion. This book articulates a new theory that shows that hierarchical decision making can in fact lead to a near optimization of system goals. The material in the book cuts across disciplines. It will appeal to graduate students and researchers in applied mathematics, operations management, operations research, and system and control theory.

By: Suresh P. Sethi, Han-Qin Zhang, Qing Zhang
Imprint: Springer Verlag
Country of Publication: United States
Volume: v.54
Dimensions: Height: 235mm, Width: 155mm, Spine: 20mm
Weight: 1.440kg
ISBN: 9780387219479
ISBN 10: 0387219471
Series: Stochastic Modelling and Applied Probability
Pages: 340
Publication Date: 01 June 2005
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Reviews for Average-Cost Control of Stochastic Manufacturing Systems

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)