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Manufacturing and Service Enterprise with Risks: A Stochastic Management Approach 2009 Edition
Contributor(s): Matsui, Masayuki (Author)
ISBN: 0387848037     ISBN-13: 9780387848037
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Hardcover - Other Formats
Published: October 2008
Qty:
Additional Information
BISAC Categories:
- Business & Economics | Operations Research
- Technology & Engineering | Industrial Engineering
- Business & Economics | Management Science
Dewey: 658
LCCN: 2008932169
Series: International Series in Operations Research & Management Science
Physical Information: 0.69" H x 6.14" W x 9.21" (1.30 lbs) 282 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
The subject for this book is my life work on the enterprise modeling and integration by a stochastic/queuing form, and the book plan was conceived before my stay in the USA in 1996-97 as a visiting scholar. The rst title was "Stochastic Management and Design of Manufacturing Systems." The rst version was attempted in 2001; however, this version was inappropriate and was not revised till now. It is 40 years since I attempted a stochastic approach to manufacturing and management due to the limitations of statistical approaches. The century in which industrial engineering and management rose to the forefront was one in which a static/statistical approach was applied to the development of classical models and general/average theory. This book presents a stochastic management approach to the manufacturing and service enterprise with risks by a game/strategic view, and is based on many papers in production/queueing studies that have appeared in famous journals. The book's objective is to discuss and show the goals and constraints on manufacturing and service enterprises, and to provide a strategic/collaborative solution for management with risks in heterogeneity. This book mainly focuses on the three manufacturing classes: continuous, poi- wise, and exible stream types under risks. These manufacturing streams are rst studied using the respective stochastic processes, and are characterized and dev- oped as a queueing/strategic control problem of look-ahead/buffer, selection/swit- over, and arrangement/routings. Moreover, the behaviors of some design/control variables are shown and useful theories for design are established.