Optimization of Cold Chain Logistics Based on Dynamic Planning Under Green Perspective

Yujie Ren, Guo Tang, Wenyue Zhou

2024

Abstract

This paper improves the solving effect of path optimization through ameliorate the traditional genetic algorithm. As the optimization goal of the total cost of cold-chain distribution, with the constraint condition of vehicle load capacity and customers’ requirement, build the optimal model. This research analyses the influence of temperature and time on refrigeration cost and cargo damage cost, and applies exponential function to describe the decay rule of fresh agricultural products. And this paper makes simulation experiment in different strategy algorithm through improving the choosing strategy, crossover strategy and mutation strategy in genetic algorithm, the result shows that improving strategy significantly impact the local solution accuracy and convergence speed of algorithm. Thus, it effectively avoid to sink into the problem of local optimum. This research provides a better plan of path optimization for distribution of cold-chain logistics. For practical cases, this paper chooses Nanjing Weigang Dairy Co., Ltd and 15 residential quarters in Nanjing as client site to analyse. In this case, through multiple runs to improve genetic algorithm, this paper gains a more economic and more friendly-environment way to distribution, dramatically reduces the total cost and carbon-dioxide emission, at the same time, also shortens the distribution time.

Paper Citation

in Harvard Style

Ren Y., Tang G. and Zhou W. (2024). Optimization of Cold Chain Logistics Based on Dynamic Planning Under Green Perspective. In Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM; ISBN 978-989-758-738-2, SciTePress, pages 490-496. DOI: 10.5220/0013444300004558

in Bibtex Style

@conference{mlscm24,
author={Yujie Ren and Guo Tang and Wenyue Zhou},
title={Optimization of Cold Chain Logistics Based on Dynamic Planning Under Green Perspective},
booktitle={Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM},
year={2024},
pages={490-496},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013444300004558},
isbn={978-989-758-738-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM
TI - Optimization of Cold Chain Logistics Based on Dynamic Planning Under Green Perspective
SN - 978-989-758-738-2
AU - Ren Y.
AU - Tang G.
AU - Zhou W.
PY - 2024
SP - 490
EP - 496
DO - 10.5220/0013444300004558
PB - SciTePress