关键词: 熵权-TOPSIS, 采购与运输, 差分进化算法

Abstract: 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.

Key words: entropy power-TOPSIS, purchasing and shipping, differential evolutionary algorithm