Handbook of Stochastic Models and Analysis of Manufacturing System Operations

. Ed(s): MacGregor Smith, James (University of Massachusetts); Tan, Baris (Koc University, Istanbul, Turkey)

ISBN 10: 1493900331 / ISBN 13: 9781493900336

Published by Springer-Verlag New York Inc., 2015

This book applies stochastic models and analytical techniques to such areas of manufacturing as facilities planning, transportation and material handling systems, production scheduling, logistics, supply chain management and productivity and quality models. Editor(s): MacGregor Smith, James (University of Massachusetts); Tan, Baris (Koc University, Istanbul, Turkey). Series: International Series in Operations Research & Management Science. Num Pages: 401 pages, 48 black & white tables, biography. BIC Classification: KJMV5; KJT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 21. Weight in Grams: 612. . 2012. Paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9781493900336

Synopsis:

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.

From the Back Cover:

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.

Bibliographic Details

Title: Handbook of Stochastic Models and Analysis ...
Publisher: Springer-Verlag New York Inc.
Publication Date: 2015
Binding: Soft cover
Condition: New