Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)

Design and Implementation of the Algorithm of E-commerce Logistics Cabinet Location Based on Big Data

Authors
Zhaoshu Gu1, *
1Shandong Polytechnic College, Jining, 272067, Shandong, China
*Corresponding author. Email: guzhaosu001@163.com
Corresponding Author
Zhaoshu Gu
Available Online 27 December 2022.
DOI
10.2991/978-94-6463-058-9_141How to use a DOI?
Keywords
Big Data; E-commerce; Logistics Cabinet Location; Location Algorithm
ABSTRACT

With the rapid rise of emerging industries such as Internet big data and mobile e-commerce, theexpress service industry has slowly grown up. Behind the constant changes in the express service industry, the industry's own disadvantages have gradually begun to appear, and the end distribution link of express logistics is also facing severe challenges. The logistics cabinet is also about to emerge under the background of this new era, and it will definitely become an important key point to solve the current plight of our country's express industry logistics terminal distribution. By studying reasonable and scientific express logistics cabinet placement management methods and models, it can solve the current terminal distribution difficulties and management problems in the development of our country's express logistics industry, reform traditional express delivery service methods, improve logistics services, and improve express delivery companies. The economic benefits of the company have very important reference value. This article aims to study the design and implementation of the location selection algorithm for e-commerce logistics cabinets based on big data. First, it analyzes the difficulties faced by logistics distribution, explains the importance of logistics cabinets in solving the difficulties of express end distribution, and elaborates the choice of express delivery logistics cabinets. Then, through extensive research on the service radius problem in service public facilities, the model of the location of the logistics cabinet is defined and the model is analyzed. Finally, the logistics cabinet location algorithm is applied to the logistics cabinet placement process. The research results show that the average daily utilization rate of the logistics cabinet in a stable state is more than 80%, which can provide a better user experience and maintain a certain elastic growth. Space has excellent economic benefits.

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)

Volume Title
Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
Series
Advances in Computer Science Research
Publication Date
27 December 2022
ISBN
10.2991/978-94-6463-058-9_141
ISSN
2352-538X
DOI
10.2991/978-94-6463-058-9_141How 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  - Zhaoshu Gu
PY  - 2022
DA  - 2022/12/27
TI  - Design and Implementation of the Algorithm of E-commerce Logistics Cabinet Location Based on Big Data
BT  - Proceedings of the 2nd International Conference on Internet, Education and Information Technology (IEIT 2022)
PB  - Atlantis Press
SP  - 903
EP  - 908
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-058-9_141
DO  - 10.2991/978-94-6463-058-9_141
ID  - Gu2022
ER  -