Stochastic Modeling of Manufacturing Systems Advances in Design, Performance Evaluation, and Control Issues /
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 res...
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| 企業作者: | |
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| 其他作者: | , , , , |
| 格式: | 電子 電子書 |
| 語言: | English |
| 出版: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2006.
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| 版: | 1st ed. 2006. |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/3-540-29057-5 |
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書本目錄:
- Factory Design
- Dilemmas in factory design: paradox and paradigm
- Unreliable Production Lines
- Lean buffering in serial production lines with non-exponential machines
- Analysis of flow lines with Cox-2-distributed processing times and limited buffer capacity
- Performance evaluation of production lines with finite buffer capacity producing two different products
- Automated flow lines with shared buffer
- Integrated quality and quantity modeling of a production line
- Stochastic cyclic flow lines with blocking: Markovian models
- Queueing Network Models of Manufacturing Systems
- Performance analysis of multi-server tandem queues with finite buffers and blocking
- An analytical method for the performance evaluation of echelon kanban control systems
- Closed loop two-echelon repairable item systems
- A heuristic to control integrated multi-product multi-machine production-inventory systems with job shop routings and stochastic arrival, set-up and processing times
- Performance analysis of parallel identical machines with a generalized shortest queue arrival mechanism
- A review and comparison of hybrid and pull-type production control strategies
- Stochastic Production Planning and Assembly
- Planning order releases for an assembly system with random operation times
- A multiperiod stochastic production planning and sourcing problem with service level constraints.



