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Handbook of Stochastic Models and Analysis of Manufacturing System Operations: International Series in Operations Research & Management Science, cartea 192

Editat de J. MacGregor Smith, Barış Tan
en Limba Engleză Paperback – 15 iun 2015
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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Specificații

ISBN-13: 9781493900336
ISBN-10: 1493900331
Pagini: 404
Ilustrații: XXVIII, 373 p.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.56 kg
Ediția:2013
Editura: Springer
Colecția Springer
Seria International Series in Operations Research & Management Science

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

The Design of Manufacturing Systems to Cope with Variability.- Modeling Automated Warehouses Using Semi-Open Queueing Networks.- Exact Analysis of Discrete Part Production Lines.- Models of Leveling for Lean Manufacturing Systems.- Value of Advance Demand Information in Production and Inventory Systems with Share Resources.- Production Systems Engineering.- Production Release Control.- Queueing Network Models of Material Handling & Transportation Systems.- Modeling and Analysis of Output Variability in Discrete Material Flow Production Systems.- Stochastic Lot Sizing Problems.- From Operational to Financial Evaluation of Manufacturing Systems.

Textul de pe ultima copertă

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.

Caracteristici

Presents the state of the art in stochastic modeling of manufacturing systems Stellar group of editors and contributors Includes up to date case studies Includes supplementary material: sn.pub/extras