Search

With the popularity of the Internet and mobile terminals, the development of e-commerce has become hotter. Therefore, e-commerce research starts to focus on the statistics and prediction of the cargo volume of logistics. This study briefly introduced the back-propagation (BP) neural network model and principal component analysis (PCA) method and combined them to obtain an improved PCA-BP neural network model. Then the traditional BP neural network model and the improved PCA-BP neural network model were used to perform the empirical analysis of the cold chain logistics demand of fruits and vegetables in city A from 2010 to 2018. The results showed that the main factors that affected the local cold chain logistics demand were the growth rate of GDP, the added value of primary industry, the planting area of fruits and vegetables, and the consumption price index of fruits and vegetables; both kinds of neural networks model could effectively predict the cold chain logistics demand, but the predicted value of the PCA-BP neural network model was more fitted with the actual value. The prediction error of the BP neural network model was larger, and the fluctuation was obvious within the prediction interval. Moreover, the time required for the prediction by the PCA-BP neural network model was less than that by the BP neural network model. In summary, the improved PCA-BP neural network model is faster and more accurate than the traditional BP model in predicting the cold chain logistics demand. [ABSTRACT FROM AUTHOR]

At present, fresh food logistics transportation in China is still in the primary stage of development, transportation costs are rising, and cold chain logistics path design is unreasonable. Therefore, the optimization and prediction of the cold chain transportation route of fresh food has become the focus of the research in this field. Based on the principle of genetic algorithm, this paper designs an improved genetic algorithm to solve the problem of urban cold chain transportation path. In order to optimize the distribution path and minimize the total cost, a cold chain transport model is established. Through the simulation coding and calculation of the model, the influence of genetic algorithm on the optimization of the cold chain transport path is explored to reduce the cost and price of cold chain logistics transport, improve the transport efficiency, and thus improve the economic benefits of enterprises in this field. Through experiments, the optimal solution of the example is obtained, and compared with the traditional algorithm, it is proved that all the paths obtained by the improved genetic algorithm conform to the model with capacity constraint and time window constraint, and there is an optimal path for the most energy saving. In conclusion, the transport path of cold chain logistics calculated by the improved genetic algorithm is more optimized than the traditional algorithm and greatly improves the transport efficiency. [ABSTRACT FROM AUTHOR]

Fresh products have a large loss in the process of cross-regional logistics. In this study, the cross-regional fresh cold chain logistics network was analyzed using GO-FLOW analysis method. First, the basic principle of GO-FLOW analysis method was introduced. Then, taking the cold chain logistics network of mangosteen as an example, the GO-FLOW diagram was established, the signal strength was calculated, and the logistics network was improved according to the analysis results. The results showed that the reliability of the logistics network was 0.842, among which the reliability loss in precooling, long-distance transportation and sales was the largest. After improving the logistics network according to the three links, the reliability of the logistics network rose to 0.958, increased by 5.53%, among which the long-distance transportation link increased by 9.03%. The analysis results verifies the feasibility of GO-FLOW analysis method in logistics network analysis and make some contributions to improve the efficiency of physical network and ensure food safety.

Regional economic cooperation has become a common economic phenomenon in various parts of the world under the background of economic globalization. Logistics, information flow, capital flow and other circulation problems continually emerged. Logistics activities is becoming more important as a sign of economic development. There are less researchers in regional cold chain logistics in China, which is incompatible with the development of cold chain logistics proposed in 12th five-year plan. If the theoretical research lacked, it will restrict the development of cold chain logistics. In this paper, the research is based on the actual situation of Zhengzhou, and it uses the PEST process to analyze the environment and politics. It accordingly proposed the corresponding strategy and suggestions.