| Issue |
E3S Web Conf.
Volume 53, 2018
2018 3rd International Conference on Advances in Energy and Environment Research (ICAEER 2018)
|
|
|---|---|---|
| Article Number | 03046 | |
| Number of page(s) | 4 | |
| Section | Environment Engineering, Environmental Safety and Detection | |
| DOI | https://doi.org/10.1051/e3sconf/20185303046 | |
| Published online | 14 September 2018 | |
A Intelligent Logistics Inventory Distribution Model Based On Pipeline Network And Ant Colony Algorithm
1
Guilin University of Technology, Guilin 541004, China
2
Guangdong provincial land and resources surveying and Mapping Institute, Guangzhou 510599, China
* Corresponding author: 451370648@qq.com
With the popularization and application of emerging Internet technologies such as big data and cloud computing, the traditional B2B and B2C warehousing logistics management modes have not achieved synergy between various distribution stations and suppliers, achieving “one-to-one” means a distribution station is supplied by a manufacturer, and a customer is also supplied by a distribution station. The traditional logistics industry model can no longer meet the individual needs of customers. At present, the logistics industry has a series of problems such as slow delivery, slow turnover, high cost and poor service. Based on the theoretical basis of pipeline network and smart logistics, this paper proposes a pipeline network model of intelligent logistics, and improves the ant colony algorithm to improve transportation efficiency, which provides a guarantee for the efficient operation of the intelligent logistics platform.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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