Supplier evaluation model based on entropy-TOPSIS and 0-1 programming algorithm

Dechen Xing; Tingting Yan; Zhuoling Han; Jiawei Liu

doi:10.1117/12.2680793

23 May 2023 Supplier evaluation model based on entropy-TOPSIS and 0-1 programming algorithm

Dechen Xing, Tingting Yan, Zhuoling Han, Jiawei Liu

Proceedings Volume 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023); 126453J (2023) https://doi.org/10.1117/12.2680793
Event: International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 2023, Hangzhou, China

Abstract

In this paper, we construct a multi-index evaluation model based on Entropy Weight-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and 0-1 programming algorithm to complete the evaluation and selection of suppliers. We discuss the various capabilities of suppliers and analyzed their impact on supplier scores. At the same time, through the collected data of the past suppliers of the enterprise, we select the appropriate indicators and use the entropy weight method to calculate the index weight. Then the TOPSIS method is used to evaluate the suppliers, and then the 0-1 planning algorithm is employed according to the evaluation results. Finally, using the evaluation model, combined with the historical data of multiple suppliers, we establish five evaluation intervals to evaluate suppliers. Effective evaluation of suppliers can help enterprises to better select suppliers in order to facilitate long-term stable development of enterprises.

Citation Download Citation

Dechen Xing, Tingting Yan, Zhuoling Han, and Jiawei Liu "Supplier evaluation model based on entropy-TOPSIS and 0-1 programming algorithm", Proc. SPIE 12645, International Conference on Computer, Artificial Intelligence, and Control Engineering (CAICE 2023), 126453J (23 May 2023); https://doi.org/10.1117/12.2680793

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