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Smith J., Tan B. (Eds.) Handbook of Stochastic Models and Analysis of Manufacturing System Operations

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Smith J., Tan B. (Eds.) Handbook of Stochastic Models and Analysis of Manufacturing System Operations
Springer, 2013. — 426 p. 153 illus., 32 illus. in color — ISBN: 1461467764, 9781461467779
Series: International Series in Operations Research & Management Science, Vol. 192
This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering:
Stochastic modeling and analysis of manufacturing systems
Design, analysis, and optimization of manufacturing systems
Facilities planning, transportation, and material handling systems analysis
Production planning, scheduling systems, management, and control
Analytical approaches to logistics and supply chain management
Integrated productivity and quality models, and their analysis
Literature surveys of issues relevant in manufacturing systems
Case studies of manufacturing system operations and analysis
Today’s manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems.
Keywords » Manufacturing Operations - Manufacturing Systems - Operations Research - Production Engineering - Production Scheduling - Stochastic Modeling
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