Simulation of cross-border e-business logistics network risk management model based on artificial neural network model

Abstract

E-business has developed rapidly in recent years, and the rapid growth of e-business has promoted the progress of logistics industry. At present, e-business transaction has become the main way of people's life, and the data of logistics system has increased linearly with the growth of e-business. With the continuous promotion of the opening-up policy, transborder e-business has also emerged. However, because transborder e-business is an international business activity, there is a big logistics risk in the growth of transborder e-business. Driven by big data, the growth of transborder e-business will be further upgraded, which will bring more logistics business needs. However, cross-border logistics is difficult to meet simultaneously, which makes logistics risks more and more prominent. This paper discusses the key issues of transborder e-business logistics network and establishes a risk assessment model of transborder e-business logistics network based on Artificial Neural Network (ANN). The experimental results show that the assessment accuracy of this method is over 96%, which can effectively assess the logistics risk of transborder e-business and provide technical support for the logistics network construction of transborder e-business enterprises.