The method of grey-fuzzy logic for optimizing multi-response problems during the manufacturing process: a case study of the light guide plate printing process

In this paper, a method of grey-fuzzy logic based on the orthogonal array is proposed to achieve the optimization of multi-response characteristics during the manufacturing process. The optimal procedure proposed for solving the optimal multi-response problem applies the grey relational coefficient in each machining response and converts a grey-fuzzy reasoning grade so as to evaluate multiple-machining responses. One real case study performed in the light guide plate (LGP) printing process verifies that the optimum procedure proposed in this study is feasible and effective. Through the grey-fuzzy logic analysis, the printing processing parameters, namely mixed rate of ink, velocity and pressure of printing process, and material and angle of scraper, are optimized with considerations to the multiple machining responses, including illumination, homogeny, value of variance for the illumination and printing ink thickness. The experimental results using the optimal setting easily clarified that the above-mentioned optimum procedure greatly improved the manufacturing process in this study.

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