基于熵权-TOPSIS-DE模型对生产类原材料采购问题的研究

A Study of Production Class Raw Material Procurement Problem Based on Entropy Power-TOPSIS-DE Modle

针对原材料订购与转运过程中的最优成本0-1规划问题,通过构建目标函数和约束条件,基于某建筑和装饰板材生产企业的基本情况,综合402家供应商的供货能力和转运商的转运损耗率,设计了一种基于熵权-TOPSIS-差分进化算法解决供应链采购问题的运输框架。一方面,对过去240周该企业原材料供应商的订货量和供货量进行了整体量化分析,选取供应商的订货量、供应商的订货次数、供应商的供应总量、供应稳定率、供货次数和平均供货量等一些评价指标,采用熵权-TOPSIS模型对所有供应商进行综合评价,最终筛选出108家优质供应商进行供货。另一方面,以企业是否选择该供应商作为决策变量,以采购费用最小为研究目标,通过差分进化算法,得到最优采购策略。同时以最低损耗率作为目标函数,通过差分进化算法得到最优运输方案。

For the 0-1 planning problem of optimal cost in the process of raw materials ordering and forwarding,evaluating the supply capacity of 402 suppliers and the loss rate of forwarders on the basic situation of a construction and decoration panel manufacturer,we designed a procurement and transportation framework of the supply chain problem based on the entropy power-TOPSIS-differential evolutionary(DE)algorithm by constructing the objective function and constraints.Firstly,the overall quantitative analysis of the order quantity and supply quantity of the raw material suppliers of this enterprise in the past 240 weeks was carried out,and some evaluation indexes such as order quantity of suppliers,order time of suppliers,total supply quantity of suppliers,supply stability rate,supply time,and average supply quantity were constructed.Then,a comprehensive evaluation of all suppliers was made by the entropy power-TOPSIS model.Finally,108 high-quality suppliers were selected for supply.Another aspect,based on the decision variable of whether the enterprise chose the supplier and the objective function of the minimum purchasing cost,the optimal purchasing strategy was obtained by the DE algorithm.Meanwhile,the optimal transportation scheme was obtained by the DE algorithm based on the objective function of the lowest loss rate.