Study on the Warning System of the Green Degree Supply Chain Based on the FAM-TOPSIS Method

With the development of the global economy, the living circumstances of human subjects to resources, and environmental issues, all aspects of the social life and economy are filled with “green” boom. The green supply chain is not only a product of sustainable development, but also a significant trend to logistics development. In this paper, in order to judge the warning status and put forward the improvement suggestions, the theories of mathematical statistics and early-warning were adopted, factor analysis method (FAM) was used to distill the main indicators of green supply chain impact; then, the grey correlation degree and relative degree of the positive-negative ideal point of indexes were determined by using grey prediction ideal point approximation method TOPSIS. The research conclusions have great value on enriching the theoretical system of logistics research and improving the quality of enterprise economy.