Cargando…
Logistics Distribution Path Optimization Algorithm Based on Intelligent Management System
There are three key points in logistics distribution: the distribution vehicle, the amount of goods, and the distribution path. Comprehensive calculation and optimization of these three parameters can plan a reasonable and efficient distribution scheme, especially the distribution path. This study a...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529449/ https://www.ncbi.nlm.nih.gov/pubmed/36199971 http://dx.doi.org/10.1155/2022/3699990 |
_version_ | 1784801496539332608 |
---|---|
author | Li, Foshang |
author_facet | Li, Foshang |
author_sort | Li, Foshang |
collection | PubMed |
description | There are three key points in logistics distribution: the distribution vehicle, the amount of goods, and the distribution path. Comprehensive calculation and optimization of these three parameters can plan a reasonable and efficient distribution scheme, especially the distribution path. This study aims to study the method of optimizing the logistics distribution path and strives to find the optimal distribution scheme and the shortest path, which can reduce the distribution error rate, distribution time, and labor costs, thus realizing intelligent management. In this study, intelligent management methods such as radio-frequency identification technology and ant colony algorithm are proposed to optimize the logistics distribution path and realize the safe and efficient logistics distribution. The experimental results of this study show that for the current logistics distribution, the RFID system has a positioning rate of close to 100% when the number of fixed points reaches about 300, and almost all accurate positioning is achieved. The ant colony algorithm can also accurately find the shortest distance after selecting appropriate parameters, which is about 200 meters away from the actual shortest distance. |
format | Online Article Text |
id | pubmed-9529449 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-95294492022-10-04 Logistics Distribution Path Optimization Algorithm Based on Intelligent Management System Li, Foshang Comput Intell Neurosci Research Article There are three key points in logistics distribution: the distribution vehicle, the amount of goods, and the distribution path. Comprehensive calculation and optimization of these three parameters can plan a reasonable and efficient distribution scheme, especially the distribution path. This study aims to study the method of optimizing the logistics distribution path and strives to find the optimal distribution scheme and the shortest path, which can reduce the distribution error rate, distribution time, and labor costs, thus realizing intelligent management. In this study, intelligent management methods such as radio-frequency identification technology and ant colony algorithm are proposed to optimize the logistics distribution path and realize the safe and efficient logistics distribution. The experimental results of this study show that for the current logistics distribution, the RFID system has a positioning rate of close to 100% when the number of fixed points reaches about 300, and almost all accurate positioning is achieved. The ant colony algorithm can also accurately find the shortest distance after selecting appropriate parameters, which is about 200 meters away from the actual shortest distance. Hindawi 2022-09-26 /pmc/articles/PMC9529449/ /pubmed/36199971 http://dx.doi.org/10.1155/2022/3699990 Text en Copyright © 2022 Foshang Li. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Foshang Logistics Distribution Path Optimization Algorithm Based on Intelligent Management System |
title | Logistics Distribution Path Optimization Algorithm Based on Intelligent Management System |
title_full | Logistics Distribution Path Optimization Algorithm Based on Intelligent Management System |
title_fullStr | Logistics Distribution Path Optimization Algorithm Based on Intelligent Management System |
title_full_unstemmed | Logistics Distribution Path Optimization Algorithm Based on Intelligent Management System |
title_short | Logistics Distribution Path Optimization Algorithm Based on Intelligent Management System |
title_sort | logistics distribution path optimization algorithm based on intelligent management system |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9529449/ https://www.ncbi.nlm.nih.gov/pubmed/36199971 http://dx.doi.org/10.1155/2022/3699990 |
work_keys_str_mv | AT lifoshang logisticsdistributionpathoptimizationalgorithmbasedonintelligentmanagementsystem |