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.
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