YANG Gui-zhi, WANG Guang-ze, HU Nan-nan, et al. Supplier Selection Problem Based on Non-dominated Sorting Genetic AlgorithmⅡ[J]. 2017, 22(5): 96-102.DOI: 10.15938/j.jhust.2017.05.018.
In view of the traditional multi-objective optimization of process parameters is difficult to choose,this paper adopts the NSGA Ⅱ to solve the problem of supplier selection,for enterprises to choose suppliers to provide a set of effective decision scheme. Specific methods are as follows: first,set up to maximize quality and after-sales service to maximize,minimize the price and time minimizing your goal,to aggregate demand,supply, procurement strategy,procurement for supplier selection model of constraint condition. Second,vendor selection model will use the NSGA Ⅱ to solve it. Finally,compare the NSGA Ⅱ with weighted summation method experiment. Experimental results show that compared with the traditional method of weighting for legitimate,the NSGA Ⅱ don't need to introduce weights or constraint conditions,so as to avoid the manual intervention,need only an operation can be close to the targets at the same time can get a set of Pareto solutions,the better choice for supplier selection.