Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)

<Previous Article In Volume
Next Article In Volume>

Research on Data Analysis and Optimization Based on Small Third-Party Logistics Companies in China

Authors
Yelan Zhu1, Baohua Guo1, *, Huihui Wang1, Qingwen Guo1, Zhe Meng1
1School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo, Henan, China
*Corresponding author. Email: guobaohua@139.com
Corresponding Author
Baohua Guo
Available Online 2 December 2022.
DOI
10.2991/978-94-6463-010-7_96How to use a DOI?
Keywords
Third-Party Logistics; Road Transport; Transportation Management; Problems and Countermeasures
Abstract

With the continuous development of global economic integration and science and technology, the level of development of modern transportation has become one of the standards for measuring a country’s economic strength. The process of trade transportation has promoted the improvement of the logistics transportation system and the emergence and development of the third-party logistics industry. Modern logistics enterprises must not only have a complete service system, but also a good logistics transportation system, so as to ensure that logistics enterprises can adapt to current market demands. Based on the transportation status of my country’s small third-party logistics companies, this article uses structural system analysis and comparative analysis to analyze the data of henan WF company as an example, summarizes and finds the problems of my country’s small third-party logistics companies, and finally puts forward some optimize strategies to help such companies further enhance their competitiveness.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 December 2022
ISBN
10.2991/978-94-6463-010-7_96
ISSN
2589-4919
DOI
10.2991/978-94-6463-010-7_96How 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  - Yelan Zhu
AU  - Baohua Guo
AU  - Huihui Wang
AU  - Qingwen Guo
AU  - Zhe Meng
PY  - 2022
DA  - 2022/12/02
TI  - Research on Data Analysis and Optimization Based on Small Third-Party Logistics Companies in China
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 958
EP  - 965
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_96
DO  - 10.2991/978-94-6463-010-7_96
ID  - Zhu2022
ER  -