供应链风险评估是供应链风险管理研究中的重要内容。笔者在文献研究及调研的基础上,通过调查问卷构建了一套供应链风险评估体系,将基于支持向量机的机器学习算法运用到供应链风险评估中,得到了供应链风险评估模型并进行了实证研究。研究结果表明:基于支持向量机的供应链风险评估模型可以完成对实际风险的评估,且具有较高的训练效率与精度,从而说明模型的有效性。
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 ma- chine 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.