Research On Optimization Of Agricultural Products Cold Chain Logistics Distribution Path From Green Perspective

In recent years,the rapid development of China's economy has greatly improved people's living standards,people pay more attention to the quality of agricultural products,which makes the agricultural cold chain logistics distribution enterprises face more severe challenges.Agricultural products have the characteristics of fresh and perishable,which makes it necessary to consume more energy to ensure the quality of agricultural products.At the same time,the impact of cold chain logistics on the environment has become more serious,which is inconsistent with the green logistics advocated by the government.Therefore,it is of practical significance to study the optimization of agricultural cold chain logistics distribution path under the green perspective.From the perspective of green logistics,this paper selects relevant green indicators and minimizes the total distribution cost.In addition to considering fixed costs,transportation fuel costs,cooling costs,penalty costs and out-of-stock costs,special consideration is given to pollution costs,including Pollution factors such as atmosphere,solid liquid and noise.On this basis,a cold chain logistics distribution path optimization model with minimum total cost under the constraints of vehicle weight limit and time window is constructed.Finally,the ant colony algorithm is designed,the model is solved by MATLAB software,and the distribution route optimization research is carried out by the actual distribution data of Hangzhou YiHAN Cold Chain Logistics Limited company,and the optimal distribution scheme is obtained.This proves the feasibility and effectiveness of the model and algorithm,and provides valuable experience for the cold chain enterprises and the government in developing green cold chain logistics,which has certain theoretical and practical significance.