基于组合赋权法的GC-TOPSIS的机床夹具优选研究

Research on optimal selection of machine tool fixture based on combination weighting method for GC-TOPSIS

考虑到现有的评价方案不够全面,提出了一种将模糊层次分析法和离差最大化法相结合的组合赋权新方法。使用该方法可得到各项评价指标的组合权重,结合灰色关联理想解法(GC-TOPSIS)可计算出各方案的综合贴近度,并选取综合贴近度最大的方案作为零件加工的最优方案。最后,通过一个齿轮减速器箱体某一工序加工的实例验证了该方法在优选机床夹具中的可行性和优越性。

Considering that the existing evaluation schemes are not comprehensive enough,a new combined weighting method is proposed,which combines the Fuzzy Analytic Hierarchy Process( FAHP) with the maximum deviation method. By using this method,the combined weights of each evaluation index can be obtained,and the comprehensive closeness of each scheme can be calculated by combining with the Grey Relational Ideal Solution( GC-TOPSIS),and the scheme with the largest comprehensive closeness can be selected as the best scheme for parts processing. Finally,the feasibility and superiority of this method in optimizing the fixture of machine tool are verified by an example of processing a certain process of gear reducer box.