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

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Optimization Study of Cold Chain Logistics Distribution Path Considering Carbon Emission and Time Window Constraints

Authors
Xue Wang1, *, Jun Wan2, Jiancheng Huang3
1College Of Business Administration, Liaoning Technical University, Liaoning Province, Huludao, 125000, China
2Basic Teaching Department, Liaoning Technical University, Liaoning Province, Huludao, 125000, China
3College Of Business Administration, Liaoning Technical University, Liaoning Province, Huludao, 125000, China
*Corresponding author. Email: lgdwangxue@163.com
Corresponding Author
Xue Wang
Available Online 22 November 2024.
DOI
10.2991/978-94-6463-570-6_94How to use a DOI?
Keywords
carbon emission; cold chain logistics; path optimization; genetic algorithm
Abstract

Aiming at the characteristics of cold chain logistics with high timeliness and high cost, taking into account the influence of temperature change on the decay rate of fresh food in the unloading process, the cost of carbon emission in the transportation process and cold storage process, and the cost of penalty for violating the time window, etc., we constructed a mathematical model aiming at the minimization of the total cost of transportation, and solved it with an improved adaptive genetic algorithm. Taking a district in Beijing as an example, we make decisions on transportation paths and vehicles, and analyze the results before and after optimization to verify the effectiveness of the model and algorithm. The results show that the total distribution cost after optimization is reduced by 15.36% compared with the pre-optimization, and the carbon emission cost is reduced by 8.70% compared with the pre-optimization, and the modified genetic algorithm has a significant effect in reducing the distribution cost and carbon emission cost, which can be reduced by means of reasonable arrangement of distribution paths and transportation vehicles.

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_94How 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  - Xue Wang
AU  - Jun Wan
AU  - Jiancheng Huang
PY  - 2024
DA  - 2024/11/22
TI  - Optimization Study of Cold Chain Logistics Distribution Path Considering Carbon Emission and Time Window Constraints
BT  - Proceedings of the 2024 5th International Conference on Management Science and Engineering Management (ICMSEM 2024)
PB  - Atlantis Press
SP  - 942
EP  - 953
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-570-6_94
DO  - 10.2991/978-94-6463-570-6_94
ID  - Wang2024
ER  -