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

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Sigma Mühendislik ve Fen Bilimleri Dergisi
Volume:33 Issue:3
MULTI-OBJECTIVE SIMULATION OPTIMIZATION USING GREY-BASED TAGUCHI METHOD WITH FUZZY AHP WEIGHTING

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

Authors : Önder BELGİN

Pages : 341-350

View : 31 | Download : 11

Publication Date : 2015-09-01

Article Type : Research Paper

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 insert ignore into journalissuearticles values(GRA); fuzzy AHP weighting process is adopted to determine the weights of grey relational coefficients.
Keywords : Multi objective simulation optimization, grey based Taguchi, fuzzy AHP

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