MULTI-OBJECTIVE SIMULATION OPTIMIZATION USING GREY-BASED TAGUCHI METHOD WITH FUZZY AHP WEIGHTING

Önder Belgin

MULTI-OBJECTIVE SIMULATION OPTIMIZATION USING GREY-BASED TAGUCHI METHOD WITH FUZZY AHP WEIGHTING

Abstract

Simulation is a powerful tool for analyzing and designing of industrial and service systems. But simulation can’t optimize the system elements and needs additional methods for optimization. In this study a multi-objective simulation optimization is dealt with. To determine the optimum factor levels, grey-based Taguchi approach is used. Since Taguchi method is designed for single objective problems, grey relational analysis is combined with Taguchi method to solve this multi-objective simulation optimization problem. Additionally, in the stage of grade relational calculation of grey relational analysis (GRA) fuzzy AHP weighting process is adopted to determine the weights of grey relational coefficients.

Keywords

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Önder Belgin This is me
Türkiye

Publication Date

September 1, 2015

Submission Date

January 27, 2015

Acceptance Date

July 6, 2015

Published in Issue

Year 2015 Volume: 33 Number: 3

IZ

https://izlik.org/JA22PW39DP

Cite

RIS / Bibtex

APA

Belgin, Ö. (2015). MULTI-OBJECTIVE SIMULATION OPTIMIZATION USING GREY-BASED TAGUCHI METHOD WITH FUZZY AHP WEIGHTING. Sigma Journal of Engineering and Natural Sciences, 33(3), 341-350. https://izlik.org/JA22PW39DP

AMA

1.Belgin Ö. MULTI-OBJECTIVE SIMULATION OPTIMIZATION USING GREY-BASED TAGUCHI METHOD WITH FUZZY AHP WEIGHTING. SIGMA. 2015;33(3):341-350. https://izlik.org/JA22PW39DP

Chicago

Belgin, Önder. 2015. “MULTI-OBJECTIVE SIMULATION OPTIMIZATION USING GREY-BASED TAGUCHI METHOD WITH FUZZY AHP WEIGHTING”. Sigma Journal of Engineering and Natural Sciences 33 (3): 341-50. https://izlik.org/JA22PW39DP.

EndNote

Belgin Ö (September 1, 2015) MULTI-OBJECTIVE SIMULATION OPTIMIZATION USING GREY-BASED TAGUCHI METHOD WITH FUZZY AHP WEIGHTING. Sigma Journal of Engineering and Natural Sciences 33 3 341–350.

IEEE

[1]Ö. Belgin, “MULTI-OBJECTIVE SIMULATION OPTIMIZATION USING GREY-BASED TAGUCHI METHOD WITH FUZZY AHP WEIGHTING”, SIGMA, vol. 33, no. 3, pp. 341–350, Sept. 2015, [Online]. Available: https://izlik.org/JA22PW39DP

ISNAD

Belgin, Önder. “MULTI-OBJECTIVE SIMULATION OPTIMIZATION USING GREY-BASED TAGUCHI METHOD WITH FUZZY AHP WEIGHTING”. Sigma Journal of Engineering and Natural Sciences 33/3 (September 1, 2015): 341-350. https://izlik.org/JA22PW39DP.

JAMA

1.Belgin Ö. MULTI-OBJECTIVE SIMULATION OPTIMIZATION USING GREY-BASED TAGUCHI METHOD WITH FUZZY AHP WEIGHTING. SIGMA. 2015;33:341–350.

MLA

Belgin, Önder. “MULTI-OBJECTIVE SIMULATION OPTIMIZATION USING GREY-BASED TAGUCHI METHOD WITH FUZZY AHP WEIGHTING”. Sigma Journal of Engineering and Natural Sciences, vol. 33, no. 3, Sept. 2015, pp. 341-50, https://izlik.org/JA22PW39DP.

Vancouver

1.Önder Belgin. MULTI-OBJECTIVE SIMULATION OPTIMIZATION USING GREY-BASED TAGUCHI METHOD WITH FUZZY AHP WEIGHTING. SIGMA [Internet]. 2015 Sep. 1;33(3):341-50. Available from: https://izlik.org/JA22PW39DP