Abstract: Aiming at that the supply chain is difficult to accurately evaluate,it comes from more variable facters,less amout of information and the difficult data collection.This paper built a new evaluation index system of supply chain and proposed a new supply chain competitiveness evaluation method.It uses the advantages of global optimization ability of artificial bee colony algorithm to optimize the control parameters of support vector machine effectively,and on this basis,the ABC-SVM evaluation model is constructed.The experimental results show that the new proposed method can effectively improve the evaluation presision of the supply chain competitiveness,and has a positive meaning to improve business decision-making effctiveness.

Key words: Supply chain competitiveness,Support vector machine,Artificial bee colony algorithm,Parameter optimization,Evaluation model