Research On Vehicle Routing Problem Of Urban Fresh Agricultural Products Cold Chain Distribution

With the continuous development of the market economy,the progress of Internet technology and people's life rhythm significantly faster,more and more urban residents choose to buy online fresh agricultural products.In order to meet the needs of consumers,fresh agricultural products need to provide customers with better products and services,and continuously improve their distribution service level.Among them,the choice of fresh agricultural products cold chain logistics city route selection has become an important factor to solve the problem.In this paper,we propose a way to reduce the cost of cold chain distribution as a starting point in the way of path optimization,and aim at improving customer satisfaction based on improving the timely distribution of distribution and reducing the corruption of fresh agricultural products caused by distribution.Based on the analysis of the main characteristics of fresh agricultural products distribution and the study of cold chain logistics and distribution theory,the following research work is mainly done:(1)This paper studies the characteristics of fresh agricultural products and the concept of cold chain logistics,and analyzes the cost accounting method of cold chain logistics distribution under the background of e-commerce.On this basis,it analyzes the factors such as customer demand,vehicle speed and road congestion And the impact of the distribution of fresh agricultural products in the same city.Finally,the theory of cold chain logistics distribution of fresh agricultural products was studied.(2)According to the characteristics of fresh agricultural products,the transportation cost,energy consumption cost,damage cost and penalty cost of cold chain distribution are analyzed according to the customer's demand for delivery time.Considering the type and punishing characteristics of customer time window,Level distribution and urban road congestion,and constructs the vehicle path optimization model with soft time window and customer priority distribution.(3)In this paper,the genetic algorithm is used to solve the problem of vehicle path optimization problem.This paper proposes an improvement from the characteristics of coding,initializing the population and genetic operation according to the characteristics of the problem to improve the computational efficiency and convergence speed of the algorithm..Finally,based on the actual data of fresh agricultural products distribution in a city distribution company in Harbin,the improved genetic algorithm is used to solve the problem modeling.By adjusting the penalty coefficient of time window and the coefficient of fresh corruption,the influence of penalty cost and corruption cost on the actual distribution cost of the company was analyzed,and the relationship was analyzed.And analyzes the influence of time window constraint and priority distribution level on the actual delivery cost of the enterprise,and puts forward the optimal distribution route selection scheme.