Study On Comprehensive Optimization Of Distribution Path Of Fresh Agricultural Products

With the continuous improvement of people’s living standards in China,the proportion of fresh agricultural products in people’s daily food spectrum is also increasing.With the increasing demand,the industrial clusters of fresh agricultural products in various places appear in large numbers and show a rapid development trend,gradually becoming a dynamic emerging industry.As we all know,most fresh agricultural products are perishable and irreversible.Ensuring the freshness of fresh agricultural products to the greatest extent and keeping their good appearance is always a crucial issue in this field.Among all the options to solve this problem,improving the transportation timeliness is one of the most critical links.This paper discusses the distribution and transportation of berry agricultural products.Under the condition of low-temperature refrigerated transportation,with product vulnerability,vehicle arrival time and vehicle load as constraints,and considering the influence of actual road conditions on vehicle speed,with the goal of minimizing the sum of vehicle transportation cost,refrigeration cost and goods loss cost,a distribution route optimization model is established and solved by ant colony algorithm.We take a batch distribution operation of Xingyetong Cold Chain Warehouse Center in Xingtai City,Hebei Province in May 2021 as an example.The batch transported 26.5tons of goods,and five transport vehicles were used for distribution.The total distribution cost was 7521.4 yuan.After the ant colony algorithm is used to optimize the distribution path,the total theoretical distribution cost is 7171.4yuan,which is 350.2 yuan lower than that before the path optimization.On this basis,we introduce dynamic self-increasing pheromone heuristic coefficient to improve the basic ant colony algorithm and further optimize the distribution path.The calculation shows that the total theoretical distribution cost is 7061.2 yuan,which is 110.2 yuan lower than that of the basic ant colony algorithm.At the same time,the distribution time is obviously shortened.The above theoretical results show that the improved ant colony algorithm has stronger model solving ability than the basic ant colony algorithm,and can help cold chain logistics enterprises save distribution costs and shorten the transportation of goods.Finally,we put forward the following suggestions to Xingyetong Cold Chain Warehouse Center: First,Improve the informatization level of cold chain distribution in the storage center,build a standardized cold chain logistics park,introduce logistics professionals,build a logistics operation information network,and realize the ecological closed-loop management of cold chain logistics.Second,Increase financial support,strengthen the construction of logistics infrastructure,transform and improve cold chain transport vehicles,reduce the energy consumption of refrigerated vehicles after the refrigeration function is enabled,and provide basic guarantee for the distribution and transportation of fresh products.Third,the warehouse center should try to use the path planning model studied in this paper and apply it to the decision-making of distribution business.By cross-referencing the manual experience with the theoretical results,the executable distribution cost minimization scheme is finally found out.We will also continue to pay attention to the operation of the warehouse center,pay regular return visits,and revise the theoretical results through the actual implementation of the distribution plan,so as to further improve the related research.