ENGLISH

Handbook of Stochastic Models and Analysis of Manufacturing System Operations

Book information

Publisher
Springer-Verlag New York
Year
2013
ISBN
978-1-4614-6776-2, 978-1-4614-6777-9
DOI
10.1007/978-1-4614-6777-9
Language
english
Format
PDF
Filesize
8 MB (8246100 bytes)
Series
International Series in Operations Research & Management Science 192
Edition
1
Pages
373\396
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00

Description

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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