Abstract Supply chain risk assessment is an important content of supply chain risk management. On the basis of literature studies and researches, the paper uses questionnaires to build up a more scientific system of supply chain risk assessment. The support vector machine based on the machine learning algorithm is applied to the evaluation of supply chain risk, and the supply chain risk assessment model is established. By the empirical study, the results indicate that the supply chain risk assessment model of support vector machine can complete the assessment of the actual risk, and has higher training efficiency and accuracy, which shows the effectiveness of this model.
2014, Vol. 31 
