基于熵权TOPSIS法供应商评价模型研究

Supplier Evaluation Model Based on Entropy Weight TOPSIS Method

如今市场的竞争越来越激烈,生产商为了谋求企业的长远发展以及利润的最大化,考虑到不同供应商供货量常常与订单量不匹配等因素,通常无法选择出最优的供应商。本文通过对402家供应商的订单量、供货量数据的特征分析,设置单位成品成本、供应商最大供应量、订单误差率、完成率、以及总供货量五个特征指标,建立了基于熵权TOPSIS法的供应商评价模型。该模型利用熵权法对特征指标进行加权运算,再利用TOPSIS法降序排列,得到最优50家供应商选择方案。本模型采用熵权法基于大数据确定指标权重,科学客观。研究结果对企业长足发展,构建新型原材料产业购买链提供一定借鉴意义。

Nowadays, the competition in the market is becoming increasingly fierce. In order to seek the far-reaching development of enterprises and maximize profits, manufacturers usually cannot choose the best supplier considering that the supply quantity of different suppliers often does not match the order quantity. This paper establishes a supplier evaluation model based on entropy weight TOPSIS method by analyzing the characteristics of order quantity and supply quantity data of 402 suppliers, and setting five characteristic indexes of raw material cost performance, supplier maximum supply, supplier order error rate, supplier completion rate and total supply quantity. The model uses entropy weight method to weight the characteristic indexes, and TOPSIS method is used to arrange them in descending order to obtain the optimal 50 supplier selection schemes. This model uses entropy weight method based on big data to determine index weight, scientifically and objectively. The research results can provide some reference for enterprises to develop and construct new raw material industrial purchasing chains.