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

Yiyo Kuo, Yung Feng Tie, Taho Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05
Pages509-513
Number of pages5
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 IEEE International Conference on Mechatronics, ICM '05 - Taipei, Taiwan
Duration: 2005 Jul 102005 Jul 12

Publication series

NameProceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05
Volume2005

Other

Other2005 IEEE International Conference on Mechatronics, ICM '05
CountryTaiwan
CityTaipei
Period05-07-1005-07-12

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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