Author(s)

Yumei Song, Qian Xiong

Corresponding Author

Yumei Song

Abstract

China's cold chain industry has ushered in a period of rapid development. However, with the enhancement of environmental awareness, the government is constantly guiding logistics enterprises to adopt new energy models, so as to reduce the environmental problems caused by the carbon emissions of traditional fuel refrigerated vehicles. In response to the distribution route optimization problem of electric refrigerated vehicles, a mathematical model for distribution route optimization under a time - varying network was constructed. An improved genetic algorithm was employed to conduct an empirical analysis of the distribution business data of Company M. Eventually, a route optimization plan with the lowest cost was listed for Company M. Meanwhile, through the comparison between the time - varying network and the static network, the necessity of considering the time - varying network in route optimization was demonstrated. This provides corresponding suggestions and considerations for logistics enterprises when they choose to use electric refrigerated vehicles to carry out distribution business.

Keywords

Path Optimization, Electric Refrigerated Vehicle, Genetic Algorithm, Time-Varying Network