Supply Chain Partners Selection Based on RVPK Algorithm

The methods to select supply chain partners for a corporation is very important, especially for the complicated supply chain network with hundreds of members and multilevel structure , and the increasingly developing of evaluation criteria. According to the situation, we propose RVPK algorithm based on PSO (particle swarm optimization) and k-means clustering. The method is applied on clustering of supply chain partners selection, which shows that the RVPK has stronger searching ability, better stability and higher precision compared with related methods. The corporation could discover the potential partners by the advantages or the characters of corporations in the clusters according to the results and decide the primary supply chain partners.