Research on Cold Chain Logistics Distribution Path Optimization under the Application of Big Data: -- Take Chengdu Shuangliu District a Company Agricultural Products Co., Ltd. as an example

Yanlin Liao; Rui Jin; Xueping Deng; Bing Zhu; Supeng Gan; Yan Ma; Kun Xie

doi:10.54097/jid.v3i1.8417

Authors

Yanlin Liao
Rui Jin
Xueping Deng
Bing Zhu
Supeng Gan
Yan Ma
Kun Xie

DOI:

https://doi.org/10.54097/jid.v3i1.8417

Keywords:

Cold Chain Logistics, Path Optimization, Particle Swarm Algorithm, Big Data

Abstract

The perishable of fresh agricultural products and the improvement of people's requirements for food quality have put forward higher requirements for the distribution efficiency. This article for the cold chain of fresh agricultural products logistics distribution path optimization problem, in Chengdu shuangliu district A company agricultural products co., LTD., as A research object, using the particle swarm algorithm of the original raw agricultural products distribution path optimization design, calculate more reasonable distribution scheme, effectively improve the distribution efficiency, vehicle rate, and reduce the use of the vehicle, reasonable to reduce the logistics costs, ultimately improve the economic benefit of the enterprise and customer satisfaction, realize enterprise scientific logistics management.

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