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

Yiyo Kuo; Yung Feng Tie; Taho Yang

doi:10.1109/ICMECH.2005.1529310

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

Yiyo Kuo, Yung Feng Tie, Taho Yang

Institute of Manufacturing Information and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05
Pages	509-513
Number of pages	5
DOIs	https://doi.org/10.1109/ICMECH.2005.1529310
Publication status	Published - 2005 Dec 1
Event	2005 IEEE International Conference on Mechatronics, ICM '05 - Taipei, Taiwan Duration: 2005 Jul 10 → 2005 Jul 12

Publication series

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

Other

Other	2005 IEEE International Conference on Mechatronics, ICM '05
Country/Territory	Taiwan
City	Taipei
Period	05-07-10 → 05-07-12

All Science Journal Classification (ASJC) codes

General Engineering

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10.1109/ICMECH.2005.1529310

Cite this

Kuo, Y., Tie, Y. F., & Yang, T. (2005). A simulation-based genetic algorithms approach in solving a multi-attribute combinatorial dispatching decision problem. In Proceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05 (pp. 509-513). Article 1529310 (Proceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05; Vol. 2005). https://doi.org/10.1109/ICMECH.2005.1529310

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

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.",

author = "Yiyo Kuo and Tie, {Yung Feng} and Taho Yang",

year = "2005",

month = dec,

day = "1",

doi = "10.1109/ICMECH.2005.1529310",

language = "English",

isbn = "0780389980",

series = "Proceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05",

pages = "509--513",

booktitle = "Proceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05",

note = "2005 IEEE International Conference on Mechatronics, ICM '05 ; Conference date: 10-07-2005 Through 12-07-2005",

}

Kuo, Y, Tie, YF & Yang, T 2005, A simulation-based genetic algorithms approach in solving a multi-attribute combinatorial dispatching decision problem. in Proceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05., 1529310, Proceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05, vol. 2005, pp. 509-513, 2005 IEEE International Conference on Mechatronics, ICM '05, Taipei, Taiwan, 05-07-10. https://doi.org/10.1109/ICMECH.2005.1529310

A simulation-based genetic algorithms approach in solving a multi-attribute combinatorial dispatching decision problem. / Kuo, Yiyo; Tie, Yung Feng; Yang, Taho.
Proceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05. 2005. p. 509-513 1529310 (Proceedings of the 2005 IEEE International Conference on Mechatronics, ICM '05; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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

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