Ebook: Stochastic Modeling of Manufacturing Systems: Advances in Design, Performance Evaluation, and Control Issues
- Tags: Production/Logistics, Operations Research/Decision Theory, Engineering Economics Organization Logistics Marketing
- Year: 2006
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.
Content:
Front Matter....Pages I-X
Dilemmas in factory design: paradox and paradigm....Pages 3-25
Lean buffering in serial production lines with non-exponential machines....Pages 29-53
Analysis of flow lines with Cox-2-distributed processing times and limited buffer capacity....Pages 55-76
Performance evaluation of production lines with finite buffer capacity producing two different products....Pages 77-97
Automated flow lines with shared buffer....Pages 99-120
Integrated quality and quantity modeling of a production line....Pages 121-148
Stochastic cyclic flow lines with blocking: Markovian models....Pages 149-166
Performance analysis of multi-server tandem queues with finite buffers and blocking....Pages 169-192
An analytical method for the performance evaluation of echelon kanban control systems....Pages 193-222
Closed loop two-echelon repairable item systems....Pages 223-252
A heuristic to control integrated multi-product multi-machine production-inventory systems with job shop routings and stochastic arrival, set-up and processing times....Pages 253-288
Performance analysis of parallel identical machines with a generalized shortest queue arrival mechanism....Pages 289-305
A review and comparison of hybrid and pull-type production control strategies....Pages 307-329
Planning order releases for an assembly system with random operation times....Pages 333-344
A multiperiod stochastic production planning and sourcing problem with service level constraints....Pages 345-363
Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.
Content:
Front Matter....Pages I-X
Dilemmas in factory design: paradox and paradigm....Pages 3-25
Lean buffering in serial production lines with non-exponential machines....Pages 29-53
Analysis of flow lines with Cox-2-distributed processing times and limited buffer capacity....Pages 55-76
Performance evaluation of production lines with finite buffer capacity producing two different products....Pages 77-97
Automated flow lines with shared buffer....Pages 99-120
Integrated quality and quantity modeling of a production line....Pages 121-148
Stochastic cyclic flow lines with blocking: Markovian models....Pages 149-166
Performance analysis of multi-server tandem queues with finite buffers and blocking....Pages 169-192
An analytical method for the performance evaluation of echelon kanban control systems....Pages 193-222
Closed loop two-echelon repairable item systems....Pages 223-252
A heuristic to control integrated multi-product multi-machine production-inventory systems with job shop routings and stochastic arrival, set-up and processing times....Pages 253-288
Performance analysis of parallel identical machines with a generalized shortest queue arrival mechanism....Pages 289-305
A review and comparison of hybrid and pull-type production control strategies....Pages 307-329
Planning order releases for an assembly system with random operation times....Pages 333-344
A multiperiod stochastic production planning and sourcing problem with service level constraints....Pages 345-363
....