Cross Border Supply Chain Coordination Bio Technology Evaluation Model of Logistics Industry based on Big Data Drive

Abstract

Aiming at the low evaluation coordination degree of the traditional cross-border supply chain coordination evaluation model of logistics industry, a cross-border supply chain coordination evaluation model of logistics industry based on big data drive is designed. By establishing the cross-border supply chain coordination evaluation index system of the logistics industry, calculating the reliability of the evaluation index, extracting the cross-border supply chain coordination evaluation data of the logistics industry based on big data drive, establishing the weight of the supply chain coordination evaluation index, using the coordination capability function to realize the cross-border supply chain coordination evaluation of the logistics industry, and obtaining a complete evaluation model. The experimental results show that the coordination degree of the designed evaluation model is significantly higher than that of the control group, which can solve the problem of low evaluation coordination degree of the traditional cross-border supply chain coordination evaluation model of logistics industry. Trade-offs between sustainability metrics, ambiguous benefits, life-cycle environmental effect, injustice concerns and technical maturity are only some of the difficulties that occur with this technological change. For this reason, future research should put more emphasis on balancing various sustainability indicators across the whole lifetime, human-centric technology transformations, system integration and digital twins, semi-autonomous transportation solutions, smart reverse logistics, and so on.