Research on the selection of logistics mode for clothing e-commerce returns and exchanges based on entropy weight TOPSIS method

Li Yao; Ximan Wang; Mengxiang Xu; Zhengfei Xin; Xiaofan Guan

doi:10.1117/12.2668588

16 February 2023 Research on the selection of logistics mode for clothing e-commerce returns and exchanges based on entropy weight TOPSIS method

Li Yao, Ximan Wang, Mengxiang Xu, Zhengfei Xin, Xiaofan Guan

Author Affiliations +

Proceedings Volume 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022); 125912W (2023) https://doi.org/10.1117/12.2668588
Event: 6th International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 2022, Guangzhou, China

Abstract

In recent years, online sales of clothing have grown rapidly, return events and return rates have put forward higher standards for the reverse logistics of returns. First of all, this paper sorts out the three traditional logistics modes of clothing e-commerce returns and exchanges. In view of the disadvantages of the existing models, from the perspective of reverse green logistics, a new logistics mode for clothing e-commerce returns and exchanges that integrates outsourcing third-party and joint venture models is proposed. Secondly, build an evaluation index system, take H clothing e-commerce enterprise as an example, use the entropy weight method to calculate the weight, and use the TOPSIS method to analyze the four logistics modes of clothing e-commerce return and exchange goods, so as to help H enterprise choose the optimal mode.

Citation Download Citation

Li Yao, Ximan Wang, Mengxiang Xu, Zhengfei Xin, and Xiaofan Guan "Research on the selection of logistics mode for clothing e-commerce returns and exchanges based on entropy weight TOPSIS method", Proc. SPIE 12591, Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022), 125912W (16 February 2023); https://doi.org/10.1117/12.2668588

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