Ebook: Handbook of Stochastic Models and Analysis of Manufacturing System Operations
- Genre: Economy // Mathematical Economics
- Tags: Operation Research/Decision Theory, Operations Research Management Science, Production/Logistics/Supply Chain Management
- Series: International Series in Operations Research & Management Science 192
- Year: 2013
- Publisher: Springer-Verlag New York
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xxviii
The Design of Manufacturing Systems to Cope with Variability....Pages 1-28
Modeling Automated Warehouses Using Semi-Open Queueing Networks....Pages 29-71
Exact Analysis of Discrete Part Production Lines: The Markovian Queueing Network and the Stochastic Automata Networks Formalisms....Pages 73-113
Models of Leveling for Lean Manufacturing Systems....Pages 115-138
Value of Advance Demand Information in Production and Inventory Systems with Shared Resources....Pages 139-165
Production Systems Engineering: Review and Recent Developments....Pages 167-210
Production Release Control: Paced, WIP-Based or Demand-Driven? Revisiting the Push/Pull and Make-to-Order/Make-to-Stock Distinctions....Pages 211-247
Queueing Network Models of Material Handling and Transportation Systems....Pages 249-285
Modeling and Analysis of Output Variability in Discrete Material Flow Production Systems....Pages 287-311
Stochastic Lot Sizing Problems....Pages 313-344
From Operational to Financial Evaluation of Manufacturing Systems....Pages 345-368
Back Matter....Pages 369-373
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.
Content:
Front Matter....Pages i-xxviii
The Design of Manufacturing Systems to Cope with Variability....Pages 1-28
Modeling Automated Warehouses Using Semi-Open Queueing Networks....Pages 29-71
Exact Analysis of Discrete Part Production Lines: The Markovian Queueing Network and the Stochastic Automata Networks Formalisms....Pages 73-113
Models of Leveling for Lean Manufacturing Systems....Pages 115-138
Value of Advance Demand Information in Production and Inventory Systems with Shared Resources....Pages 139-165
Production Systems Engineering: Review and Recent Developments....Pages 167-210
Production Release Control: Paced, WIP-Based or Demand-Driven? Revisiting the Push/Pull and Make-to-Order/Make-to-Stock Distinctions....Pages 211-247
Queueing Network Models of Material Handling and Transportation Systems....Pages 249-285
Modeling and Analysis of Output Variability in Discrete Material Flow Production Systems....Pages 287-311
Stochastic Lot Sizing Problems....Pages 313-344
From Operational to Financial Evaluation of Manufacturing Systems....Pages 345-368
Back Matter....Pages 369-373
....