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- W1504311242 abstract "In this study, we proposed a methodology for determining optimal number of kanbans for each station in a JIT manufacturing system. In this methodology, a backpropagation neural network is used in order to generate simulation meta-models, and a multi-criteria decision making technique (TOPSIS) is employed in order to evaluate kanban combinations with respect to the relative importance of the performance measures. The proposed methodology is applied to a case problem and the results are presented. The results show that the methodology can solve this type of problems effectively and efficiently." @default.
- W1504311242 created "2016-06-24" @default.
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- W1504311242 date "2006-01-01" @default.
- W1504311242 modified "2023-09-27" @default.
- W1504311242 title "A Multi-Criteria Decision Making Procedure Based on Neural Networks for Kanban Allocation" @default.
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- W1504311242 doi "https://doi.org/10.1007/11760191_131" @default.
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