Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)

<Previous Article In Volume
Next Article In Volume>

Research on Low-carbon Fresh Food Logistics Path Optimization Based on Improved Ant Colony Algorithm

Authors
Xianhua Ke1, Manhui He1, *
1College of Business Administration, Liaoning Technical University, Huludao, Liaoning, 125105, China
*Corresponding author. Email: 2305147292@qq.com
Corresponding Author
Manhui He
Available Online 22 November 2024.
DOI
10.2991/978-94-6463-570-6_98How to use a DOI?
Keywords
Fresh produce logistics; path optimization; low carbon; Improved ACO Algorithm
Abstract

For logistics companies facing the challenges of high distribution costs and high carbon emissions when delivering fresh produce, this text comprehensively analyzes comprehensive freight cost, time-window penalty, cargo loss, and refrigeration cost with respect to the characteristics of fresh logistics and carbon emission considerations. Based on this, a single-objective optimization model is constructed with the ultimate goal of reducing the cost of cargo transportation, and the issue is addressed using an improved ant colony algorithm. In this article a detailed experimental test of the model using the Solomon dataset. The final outcome show that the model designed in this article effectively reduces the total cost of fresh food distribution and carbon emissions, confirming the applicability and rationality of the research content of this article.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
Series
Advances in Economics, Business and Management Research
Publication Date
22 November 2024
ISBN
978-94-6463-570-6
ISSN
2352-5428
DOI
10.2991/978-94-6463-570-6_98How 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  - Xianhua Ke
AU  - Manhui He
PY  - 2024
DA  - 2024/11/22
TI  - Research on Low-carbon Fresh Food Logistics Path Optimization Based on Improved Ant Colony Algorithm
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 980
EP  - 989
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_98
DO  - 10.2991/978-94-6463-570-6_98
ID  - Ke2024
ER  -