Research on Location of Supply Chain Center of Natural Resources based on K-means Clustering Model

A good supply chain can improve the overall level of the region. In this paper, we collected several data for each province in mainland China: Such as forest cover, carbon emissions, and the total area of the province, such as data, using the K-means clustering model is analyzed, if the environmental conditions of these provinces' carbon-neutral conditions similar to those of Sihanba around, depending on the province's distance to the centre of the cluster sample to determine whether Sihanba ecological protection model can spread to the region, the shorter the distance, the more similar, It is also suitable for Saihanba ecological protection mode. Through the selection of cluster centres and several iterations, we divided all the provinces on the mainland into three clusters. This research is helpful to select the location of supply chain center between cities.