Research on Data Analysis and Optimization Based on Small Third-Party Logistics Companies in China
- 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.
Cite this article
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 -