ABSTRACT
As people’s environmental awareness grows and low-carbon logistics develops, the high cost and high emission characteristics of cold chain logistics become the primary reason for its development being stifled, and low energy consumption, low emission, and high efficiency and effectiveness gradually become the new goals of cold chain logistics development. In this paper, we propose the optimization problem of multi-model cold chain logistics distribution considering carbon trading and new energy vehicles, based on existing research of site-path problems, and use the data of cold chain logistics distribution companies as an example, and use genetic algorithm to solve the model to verify, and compare the solution results with the decision without carbohydrate. The results are compared to decisions made without the constraints of carbon trading, and the impact of carbon trading and new energy vehicles on distribution decisions is confirmed, resulting in more effective management and operation advice for cold chain logistics distribution organizations.
