A simulation-based genetic algorithms approach in solving a multi-attribute combinatorial dispatching decision problem

Yiyo Kuo, Yung Feng Tie, Taho Yang

研究成果: Conference contribution

摘要

This paper presented a simulation-based genetic algorithms (GAs) approach in solving a multi-attribute combinatorial dispatching (MACD) decision problem in a flow shop with multiple processors (FSMP) environment. The simulation is capable of modeling non-linear and stochastic problem. GA is a proven tool in solving a complex optimization problem. The proposed GAs simulation approach addressed a complex MACD problem by solving a case study from multi-player ceramic capacitor (MLCC) manufacturing. Empirical results illustrated both the effectiveness and efficiency of the proposed methodology In solving the MACD problem. Managerial insights are drawn form the case study results and future research direction is discussed.

原文English
主出版物標題Proceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05
頁面509-513
頁數5
DOIs
出版狀態Published - 2005 十二月 1
事件2005 IEEE International Conference on Mechatronics, ICM '05 - Taipei, Taiwan
持續時間: 2005 七月 102005 七月 12

出版系列

名字Proceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05
2005

Other

Other2005 IEEE International Conference on Mechatronics, ICM '05
國家/地區Taiwan
城市Taipei
期間05-07-1005-07-12

All Science Journal Classification (ASJC) codes

  • 工程 (全部)

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