Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)

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Intelligent Logistics Path Optimization and Real-Time Dispatching System Design Based on Big Data Analysis

Authors
Shumin Zhang1, *, Zheng Yang2, Yang Zhang3
1School of Business Administration, Liaoning Technical University, Huludao, 125105, Liaoning, China
2College of Environmental Science and Engineering, Liaoning Technical University, Fuxing, 123000, Liaoning, China
3School of Business Administration, Liaoning Technical University, Huludao, 125105, Liaoning, China
*Corresponding author. Email: 2314972030@qq.com
Corresponding Author
Shumin Zhang
Available Online 14 July 2024.
DOI
10.2991/978-94-6463-447-1_13How to use a DOI?
Keywords
Big Data Analysis; Intelligent Logistics; Route Optimization; Real-Time Scheduling; Order Allocation Model
Abstract

The advancement of intelligent technology has brought the technological foundation for path optimization and real-time scheduling systems to the logistics industry, enabling more accurate and efficient order delivery. In order to further optimize the working conditions of intelligent logistics, this article proposes the technical tool of big data analysis. Moreover, this article also conducted a comparative experiment based on the method in this article and other mainstream methods at the end. In the comparative experiment on delivery time for users in a specific area, the average delivery time of the former was 10.82h, while the average delivery time of the latter was 14.81h. The obvious experimental gap fully reflects that big data analysis technology can well carry out intelligent logistics path optimization and real-time dispatch system design.

Copyright
© 2024 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 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
Series
Advances in Computer Science Research
Publication Date
14 July 2024
ISBN
978-94-6463-447-1
ISSN
2352-538X
DOI
10.2991/978-94-6463-447-1_13How to use a DOI?
Copyright
© 2024 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  - Shumin Zhang
AU  - Zheng Yang
AU  - Yang Zhang
PY  - 2024
DA  - 2024/07/14
TI  - Intelligent Logistics Path Optimization and Real-Time Dispatching System Design Based on Big Data Analysis
BT  - Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
PB  - Atlantis Press
SP  - 107
EP  - 114
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-447-1_13
DO  - 10.2991/978-94-6463-447-1_13
ID  - Zhang2024
ER  -