Optimization and Benefit Assessment of Cold Chain Logistics Network in Southeast Asia Based on Big Data Analysis

Ying Lin

2024

Abstract

With the rapid development of social economy, e-commerce and logistics enterprises are flourishing. Continuously improving the optimization and benefit assessment methods of cold chain logistics network has injected new vitality and momentum into the cold chain logistics industry in Southeast Asia. This paper constructs a cold chain logistics network optimization and benefit assessment model in Southeast Asia based on big data technology. At this stage, the development of fresh food e-commerce is very rapid, and the consumption of all kinds of fresh food, dairy products and other perishable commodities is also increasing rapidly, which leads to a huge demand for refrigerated transportation. This is a logistics industry with high entry threshold, large market space and great potential, which is occupied by e-commerce and logistics companies. In this paper, the objective function and constraint function are set as the parameters of GA algorithm calculation through the variables affecting the optimization and benefits of cold chain logistics network, and the optimization model of Southeast Asia’s cold chain logistics network based on GA (Genetic Algorithm) algorithm is constructed, and finally, the comparative analysis with the PSO algorithm shows that the computation speed of the GA algorithm is faster than that of the PSO algorithm (the GA algorithm based on the logistics Network Optimization based on GA algorithm has a computation time of only 2.51s, while the model based on PSO algorithm has a computation time of 15s.).

Paper Citation

in Harvard Style

Lin Y. (2024). Optimization and Benefit Assessment of Cold Chain Logistics Network in Southeast Asia Based on Big Data Analysis. In Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-690-3, SciTePress, pages 497-503. DOI: 10.5220/0012826200004547

in Bibtex Style

@conference{icdse24,
author={Ying Lin},
title={Optimization and Benefit Assessment of Cold Chain Logistics Network in Southeast Asia Based on Big Data Analysis},
booktitle={Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2024},
pages={497-503},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012826200004547},
isbn={978-989-758-690-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Optimization and Benefit Assessment of Cold Chain Logistics Network in Southeast Asia Based on Big Data Analysis
SN - 978-989-758-690-3
AU - Lin Y.
PY - 2024
SP - 497
EP - 503
DO - 10.5220/0012826200004547
PB - SciTePress