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International Journal of Advanced Research in IT and Engineering
Year : 2015, Volume : 4, Issue : 6
First page : ( 1) Last page : ( 15)
Online ISSN : 2278-6244.

Multi optimization of process parameters by using grey relation analysis-a review

Patel Mihir Thakorbhai

Lecturer, Department of Mechanical Engineering, BBIT, V.Vnagar, Gujarat

Online published on 23 July, 2015.


In this paper, a comprehensive and in-depth review on multi optimization of different process parameters were carried out using Grey relation analysis. Quality and productivity are two of the most important criteria in any machining operation. But it can be seen that there is tradeoff between them. So, it is essential to optimize quality and productivity simultaneously. The grey relation analysis is the effective methodology to optimize multiple performance parameters. The selection of the process parameters is also important for any optimization of required quality characteristics. The grey relation analysis is not used to optimize machining parameters only. It also used to software evaluation, site selection, bank selection etc. The grey relation analysis shows the optimal sequence which gives better results than theoretical predicated or conventionally selected sequence.



ANOVA, Grey relation analysis, Multi optimization, Process parameters, Taguchi.


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