Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

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The Logistics Operation Mode Selection for e-Commerce Enterprises

Authors
Xinran Zhang1, Mengru Shen1, *, Xifu Wang1, Jianfeng Chang1
1Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing, China
*Corresponding author. Email: mrshen@bjtu.edu.cn
Corresponding Author
Mengru Shen
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_60How to use a DOI?
Keywords
Logistics operation mode; set-valued statistics; multi-level grey evaluation method
Abstract

Choosing an appropriate logistics operation mode will help enterprises achieve the pursuit of low cost and high profit of logistics. In this paper, the logistics operation mode used by e-commerce enterprises is divided into three forms: completely self-supporting, completely outsourcing, and logistics alliance. Starting from the logistics characteristics of e-commerce enterprises, the evaluation index system of three logistics operation mode is constructed. Finally, a comprehensive evaluation model based on the combination of set-value statistics and multi-level grey evaluation method is proposed, and the model is tested by an example analysis.

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
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
978-94-6463-198-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_60How 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

risenwbib
TY  - CONF
AU  - Xinran Zhang
AU  - Mengru Shen
AU  - Xifu Wang
AU  - Jianfeng Chang
PY  - 2023
DA  - 2023/08/10
TI  - The Logistics Operation Mode Selection for e-Commerce Enterprises
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 588
EP  - 596
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_60
DO  - 10.2991/978-94-6463-198-2_60
ID  - Zhang2023
ER  -