A new decision making approach for optimization of multiple response problem

This paper present a new method for multiple response optimization (MRO). Multiresponse problems comprise three stages: data gathering, model building and optimization. The most work in MRO don't consider the results of modeling stage while these outcomes can help in achieving the solution. In this paper, we incorporate the obtained results from stage of model building, i. e. the least significance difference (LSD) criterion, for procuring the non-dominated solution of problem. In proposed method, a number of non-dominated solutions are acquired by the modified goal programming approach and LSD concept. Then, using TOPSIS approach the resulted solutions are ranked and the preferred solution is gained. Finally, the proposed method is illustrated with a numerical example.

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