Author(s)

Mingquan Xian ¹, Juguang Ren ¹, Tianjun Li ¹, Haibing Liu ¹, Chong Liu ¹

Affiliation(s)

¹ Institute of Engineering and Technology, Chengdu University of Technology, Leshan, Sichuan, 614000

Corresponding Author

Mingquan Xian

ABSTRACT

In this paper, a comprehensive evaluation model based on dynamic weighting is proposed, which can evaluate suppliers in real time and efficiently. The research of this problem can provide more effective suggestions for enterprise management, help enterprises to reduce costs and obtain higher benefits. Firstly, this paper preprocesses, analyzes and mines the given data, and selects the evaluation index from the perspective of the supplier's supply characteristics. This paper uses the average enterprise response, market share, cooperation density, and standard deviation. As the supply characteristic indicator, calculate the score of 402 suppliers, considering that the weight of the evaluation indicator changes with the actual situation, this paper establishes based on Dynamic weighted comprehensive evaluation model.

KEYWORDS

dynamic weighting, supplier evaluation, supply chain analysis

CITE THIS PAPER

Mingquan Xian, Juguang Ren, Tianjun Li, Haibing Liu, Chong Liu. Research on the Influence Mechanism of New Media Users' Perceived Value on Sticky Behavior. Agricultural & Forestry Economics and Management (2021) Vol. 4: 55-59. DOI: http://dx.doi.org/10.23977/agrfem.2021.040110.

REFERENCES

[1] Tao Yunhai. Research and application of supplier evaluation in manufacturing supply chain. [D]. Master's thesis .2015.05.
[2] Fang Zhongmin, Han Fuyi, Ma Rong, Application of Fuzzy Classification in Enterprise Inventory Management, Logistics Technology, Vol. 38, No.1, 2019.
[3] Han Zhonggeng. Comprehensive evaluation model of water quality based on dynamic weighting method. Proceedings of the 8th Academic Exchange Meeting of China Operational Planning Society. Shenzhen, Guangdong. June 30, 2006; 649-654
[4] Liu Ke. Optimization of cold chain logistics service provider selection based on bi-level multi-objective programming. [D]. Master's thesis .2018.05.

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