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

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Research on Optimization of Delivery Vehicle Pathways Considering Carbon Emissions and Soft Time Windows

Authors
Xun Zhang1, Cunhua Qian1, *
1Nanjing University of Technology, Nanjing, Jiangsu, 211816, China
*Corresponding author. Email: qch64317@njtech.edu.cn
Corresponding Author
Cunhua Qian
Available Online 22 November 2024.
DOI
10.2991/978-94-6463-570-6_112How to use a DOI?
Keywords
Research on path optimization; Carbon emissions; Soft time window; Improving Ant Colony Algorithm
Abstract

Aiming to reduce the total cost of logistics distribution, this paper constructs a mathematical model for multi-vehicle route optimization with time window constraints. The objective is to minimize the comprehensive total cost, which includes fixed vehicle costs, transportation costs, carbon emission costs, and time penalty costs. In terms of algorithm design, this study enhances heuristic functions and state transition probabilities, optimizes the global pheromone update strategy, and introduces a chaotic disturbance mechanism to improve the ant colony algorithm. Finally, MATLAB software is used for empirical analysis to compare the optimized ant colony algorithm with the traditional ant colony algorithm. The results indicate that, compared to the basic ant colony algorithm, the improved ant colony algorithm reduces delivery distance by 7.2% and total delivery cost by 17.5%, thereby verifying the effectiveness of the proposed method. Moreover, the paper analyzes how delivery costs and carbon emissions change with fluctuations in carbon tax prices.

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 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_112How 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  - Xun Zhang
AU  - Cunhua Qian
PY  - 2024
DA  - 2024/11/22
TI  - Research on Optimization of Delivery Vehicle Pathways Considering Carbon Emissions and Soft Time Windows
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 1115
EP  - 1127
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_112
DO  - 10.2991/978-94-6463-570-6_112
ID  - Zhang2024
ER  -