An Integrated Method of Supply Chains Vulnerability Assessment - 机器学习与生物医学大数据实验室

机器学习与生物医学大数据实验室

简介通过综合利用数据科学，计算机科学和信息技术揭示大量而复杂的生物数据所赋有的生物学奥秘。

Supply chain vulnerability identification and evaluation are extremely important to mitigate the supply chain risk. We present an integrated method to assess the supply chain vulnerability. The potential failure mode of the supply chain vulnerability is analyzed through the SCOR model. Combining the fuzzy theory and the gray theory, the correlation degree of each vulnerability indicator can be calculated and the target improvements can be carried out. In order to verify the effectiveness of the proposed method, we use Kendall’s tau coefficient to measure the effect of different methods. The result shows that the presented method has the highest consistency in the assessment compared with the other two methods.