摘要：

为高效准确地寻找最佳供应链伙伴组合,提出一种供应链伙伴选择的多目标优化模型。以提高企业声誉稳定性、企业与盟主企业拟合度极大化,以及供应链伙伴组合总体声誉极大化为目标函数,利用保留精英策略的非支配遗传算法进行求解,以减少优秀企业在迭代过程中被淘汰的概率,并找到Pareto 最优解。算例结果表明,与供应链伙伴选择独立决策模型以及TOPSIS 模型相比,该模型不仅有助于选取稳定性更高的伙伴组合,并能实现供应链整体综合效用的最大化。

关键词: 声誉, 合作伙伴选择, 遗传算法, 精英策略, 多目标规划

Abstract:

In order to find the best composition of supply chain partners efficiently and accurately,a multi-objective programming model for supply chain partner selection is proposed in this paper. Maximizing the enterprise’s reputation stability,fitness,and the reputation value of the composition of supply chain partners are used as the objective functions; an elitist non-dominated sorting Genetic Algorithm(GA) is introduced to solve the problem to reduce the possibility of weeding out excellent enterprises in the iterative process,so as to find the Pareto optimal solution. Experimental results show that compared with independent decision model and TOPSIS model,the model not only can help to choose the stable partners,but also maximizes the comprehensive utility of the supply chain.

Key words: reputation, partner selection, Genetic Algorithm(GA), elitist strategy, multi-objective programming

中图分类号: 

• TP14