Leseprobe
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Manufacturing and Service Enterprise with Risks
Masayuki Matsui
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Sozialwissenschaften, Recht, Wirtschaft / Allgemeines, Lexika
Beschreibung
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.
Kundenbewertungen
strategy, ellipse theory/ balanced scorecard, Management, enterprise modeling, supply chain management, production, model, Stochastic Processes, Operations Research, Service, manufacturing queues, service/sales enterprise, strategic/gaming management