Research On Risk Evaluation And Control Of Cross-border Logistics Overseas Warehouse

In recent years,overseas warehouses have become an important helper in solving the cross-border logistics dilemma,bringing customers a better logistics and shopping experience.As a result of changes in the international environment and policies,games between upstream and downstream nodes in the supply chain have resulted in potential risks such as cargo explosions,high costs,and cargo backlogs.Therefore,in-depth research on overseas warehouse risk evaluation and control has important theoretical significance and application value for promoting the sustainable development of cross-border e-commerce enterprises.In this paper,30 valid cross-border e-commerce enterprise staff questionnaires for identifying risk factors of overseas warehouses were collected and passed the reliability and validity tests.The index system was simplified with the help of the factor analysis method,and the cross-border logistics overseas warehouse risk evaluation index system was constructed.The validity of the questionnaire was verified by passing the KMO and the cumulative variance interpretation rate test after rotation.Cross-border logistics overseas warehouse risk evaluation is divided into two parts:external risk and internal risk.This article uses LT Company as an example to conduct empirical research.Firstly,an external risk evaluation model for cross-border logistics overseas warehouses was built based on AHP-fuzzy comprehensive evaluation.Collected 35 questionnaire data of external risk factors experts.Through AHP and fuzzy comprehensive evaluation,they met the requirements of consistency and obtained cross-border logistics overseas warehouse Weight of external risk indicators.Among them,environmental risks have the greatest impact,especially policy changes and exchange rate fluctuations.External risks are at a relatively high level as a whole.Secondly,an internal risk evaluation model for overseas warehouses based on BP neural network is constructed.According to the relevant data from 2013 to 2019,with the help of Matlab tools,the internal risk obtained through calculation is also at a high level.The main influencing factors are investment risk and inventory risk.Finally,it puts forward countermeasures for cross-border logistics overseaswarehouse risk control,further strengthens its support for overseas warehouse policies,uses big data and block chain to improve customer demand forecast accuracy,and builds a risk early warning system.The research conclusions have certain reference value to practice..