Manufacturing flow line systems: a review of models and analytical results
Queueing Systems: Theory and Applications - Special issue on queueing models of manufacturing systems
Queueing networks with blocking
Queueing networks with blocking
Buffer size optimization in asynchronous assembly systems using genetic algorithms
Computers and Industrial Engineering
Buffer allocation in unreliable production lines using a knowledge based system
Computers and Operations Research
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
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The buffer size decision for the Flexible Transfer Line (FTL) gains more and more importance because of growing FTL complexity. The buffer size in front of the bay of machines in the FTL is still one of the major optimisation problems faced by production engineers. In this article, we attempt to find the optimal buffer size for FTL with Rework Paths (FTL-RP) that achieves the best throughput of the FTL-RP. A Genetic Algorithm (GA) is presented to find buffer size of FTL-RP. To estimate FTL-RP performance, the well-known decomposition approach is used to find the throughput of the FTL-RP at a given buffer size. In order to achieve the efficient use of the GA, we propose the Multiple Vectors Distribution Method (MVDM) for the genes arrangement.