Bottleneck detection of complex manufacturing systems using a data-driven method
Bottleneck detection of complex manufacturing systems using a data-driven method
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DOI：
10.1080/00207540802427894
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发表时间：
2009-10
影响因子：
9.2
通讯作者：
Lin Li
中科院分区：
文献类型：
--
作者：
Lin Li
生产线内的瓶颈会严重影响系统的生产率。当前大多数瓶颈检测方案都侧重于使用分析或模拟模型的长期瓶颈检测问题。此外，这些研究仅限于串联串联线。这项研究的重点是将新开发的用于吞吐量瓶颈检测的数据驱动方法从串行生产线扩展到具有复杂布局的制造系统。在这些复杂的系统中，考虑了两种特定的布局：并发过程和闭环反馈过程。使用模拟案例研究对该方法进行了验证。通过工业案例研究来证明该方法的实用性并验证所提出的瓶颈检测方法的效率。
Bottlenecks within a production line significantly affect system productivity. Most current bottleneck detection schemes focus on the long-term bottleneck detection problem using an analytical or simulation model. Furthermore, these studies are restricted to serial tandem lines only. This research focuses on extending the newly developed data-driven method for throughput bottleneck detection from a serial line to a manufacturing system with a complex layout. Within these complex systems, two specific layouts are considered: the concurrent process and the closed-loop feedback process. The method is verified using simulation case studies. An industrial case study is examined to demonstrate the practicality of this approach and to validate the efficiency of the proposed bottleneck detection method.