Approximate MVA for closed queueing network models of FMS with a block-and-wait mechanism
Computers and Industrial Engineering
Determining the number of Kanbans for unbalanced serial production systems
ICC&IE-94 Selected papers from the 16th annual conference on Computers and industrial engineering
Integration of evolutionary programming and simulation to optimize a pull production system
CIE '96 Proceedings of the 19th international conference on Computers and industrial engineering
Mean-Value Analysis of Closed Multichain Queuing Networks
Journal of the ACM (JACM)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
Algorithm for the design of single-stage adaptive kanban system
Computers and Industrial Engineering
Computers and Industrial Engineering
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This paper considers a semiconductor assembly and test factory which is a three-segment-Constant Work-in-Process (CONWIP) system with overlapping machines. In the system, three types of carts circulate for meeting the physical requirements. The optimization problem in setting the suitable total Work-in-Process (WIP) level and the distribution in the three loops from the view of the trade-off between the throughput and the WIP level for the system is addressed. In the proposed model, the system is firstly modeled as a three-loop closed queue network and we propose an approximate method to evaluate the performance. The accuracy of the evaluation method was illustrated by numerical experiments, indicating that the method is fairly precise. Secondly, a Genetic Algorithm is designed to obtain near optimal results based on the performance evaluation. The semiconductor assembly and test system case as well as the application procedure were carried out in detail.