New development of optimal computing budget allocation for discrete event simulation
Proceedings of the 29th conference on Winter simulation
Using simulation based approach to improve on the mean cycle time performance of dispatching rules
WSC '05 Proceedings of the 37th conference on Winter simulation
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Real-time planning and scheduling in a shop floor are not easy to accomplish due to the concurrent flow of various parts as well as sharing of different types of resources. Multi-pass scheduling is a well known method for solving the aforementioned problem. Its success depends largely on selecting the best decision-making rule fast and effectively. Although many efforts have been made in the past, a way to minimize the computational load of rule evaluation and selection has yet to appear. The objective of the paper is to apply a nested partitioning (NP) method and an optimal computing budget allocation (OCBA) method to reduce the computational load without the loss of the performance of multi-pass scheduling. The experimental design and analysis was performed to validate that NP and OCBA can be successfully applied to multi-pass scheduling in order to enhance the performance of multi-pass scheduling.