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Optimization of process parameters by Taguchi based Grey Relational Analysis: A Review


Author : Nikhil Aggarwal and Sushil Kumar Sharma

Pages : 2792-2796
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Abstract

The aim of this paper to review the Taguchi based Grey relational analysis is used to find the best process parameters and improved quality results. The GRA was proposed to optimize the multi response problem by making use of the grey relational coefficient and grey relational grade. GRA is attempted to integrate multiple responses, it is feasible to combine GRA with Taguchi method to provide an optimal constitute of processing parameters for the cases with multiple quality characteristics. The present work focused by using L27 Orthogonal Array (OA) on the processing steps to get the optimal values, and Analysis of variance (ANOVA) was employed to investigate the characteristics and experimental results are provided the effectiveness of this approach. This technology has met the current needs of industry owing to its shorter design cycles and improved the design of quality.

Keywords: Taguchi based Grey Relational Analysis, Orthogonal array, optimize, Analysis of variance (ANOVA).

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.4 (Aug- 2014)

 

 

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