2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)

The Choice of Reverse Logistics Management Mode for Garment Enterprises

Authors
Zhiqi Ma1, *
1Shanghai Maritime University, Shanghai, China
*Corresponding author. Email: ma454628442@163.com
Corresponding Author
Zhiqi Ma
Available Online 25 July 2023.
DOI
10.2991/978-94-6463-210-1_36How to use a DOI?
Keywords
Reverse logistics; Fuzzy evaluation theory; DEA
Abstract

This paper systematically evaluates three operating modes of apparel reverse logistics: self-support mode, joint operation mode and outsourcing mode. Taking a garment enterprise as an example, the evaluation index is selected according to the actual situation, and the TOPSIS method of fuzzy evaluation theory is used to quantify the evaluation index. Using the data envelopment analysis method to analyze the quantitative evaluation index, so as to get the evaluation of the clothing reverse logistics business model. The conclusion shows that outsourcing mode is the best choice for reverse logistics.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)
Series
Atlantis Highlights in Engineering
Publication Date
25 July 2023
ISBN
10.2991/978-94-6463-210-1_36
ISSN
2589-4943
DOI
10.2991/978-94-6463-210-1_36How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Zhiqi Ma
PY  - 2023
DA  - 2023/07/25
TI  - The Choice of Reverse Logistics Management Mode for Garment Enterprises
BT  - 2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)
PB  - Atlantis Press
SP  - 278
EP  - 283
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-210-1_36
DO  - 10.2991/978-94-6463-210-1_36
ID  - Ma2023
ER  -