Research Article
Raw Material Supplier Selection Model Based on Entropy Weight Method and TOPSIS Method
@INPROCEEDINGS{10.4108/eai.18-11-2022.2326876, author={Yan Tan and Tengrong Yu and Rongguang Lin and Huabiao Yan}, title={Raw Material Supplier Selection Model Based on Entropy Weight Method and TOPSIS Method}, proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2023}, month={2}, keywords={supply characteristics; entropy weight method; topsis method; supplier selection}, doi={10.4108/eai.18-11-2022.2326876} }- Yan Tan
Tengrong Yu
Rongguang Lin
Huabiao Yan
Year: 2023
Raw Material Supplier Selection Model Based on Entropy Weight Method and TOPSIS Method
ICEMME
EAI
DOI: 10.4108/eai.18-11-2022.2326876
Abstract
Manufacturing enterprises purchase a large number of raw materials with a high amount. Therefore, formulating a reasonable ordering and transportation scheme can minimize the purchase cost of raw materials and is conducive to the production development of enterprises. Based on the quantitative analysis of the supply characteristics of 402 suppliers, this paper makes a statistical description of 402 suppliers from the perspectives of supply quantity and order quantity, selects 8 quantitative supply characteristics indicators reflecting supply intensity, fluctuation, enterprise trust and supply change, and constructs a supply characteristics evaluation index system, The evaluation model reflecting the importance of enterprise production is established. The TOPSIS Model Based on entropy weight method is used to obtain the scores of 402 suppliers and determine the 50 most important suppliers.
