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Academic Journal of Business & Management, 2020, 2(5); doi: 10.25236/AJBM.2020.020511.

Research on Optimization of Cold Chain Logistics Distribution Path Based on P Company

Author(s)

Xinyan YU1, Daofang CHANG2,*, Xin SONG3

Corresponding Author:
Daofang CHANG
Affiliation(s)

1 Logistics Science and Engineering Research Institute, Shanghai Maritime University, Anshan, Liaoning, China
2 Logistics Science and Engineering Research Institute, Shanghai Maritime University, Fengqiu, Henan, China
3 Logistics Science and Engineering Research Institute, Shanghai Maritime University, Chizhou, Anhui, China
Email:[email protected]
*Corresponding Author

Abstract

With the development of cold chain technology and the improvement of people's living standards, the demand for cold chain logistics is becoming more and more prosperous. In view of the fact that most cold chain logistics companies still have many problems such as high distribution costs and untimely distribution. Considering the high cost of cold chain transportation, the total cost of the five costs of fixed cost, fuel consumption cost, refrigeration cost, cargo damage cost, and penalty cost is the minimum optimization goal, a cold chain logistics distribution route optimization model is constructed, and genetic algorithm and hybrid are designed. Particle swarm optimization solves the problem, and the optimized path effectively reduces the company's cold chain distribution time and cost, and improves the efficiency of cold chain transportation.

Keywords

Cold chain logistics, Distribution path optimization, Genetic algorithm, Hybrid particle swarm optimization

Cite This Paper

Xinyan YU, Daofang CHANG, Xin SONG. Research on Optimization of Cold Chain Logistics Distribution Path Based on P Companyl. Academic Journal of Business & Management (2020) Vol. 2, Issue 5: 102-113. https://doi.org/10.25236/AJBM.2020.020511.

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