中文摘要：

将应用于宏观经济系统的Inoperability Input—output Model（IIM）拓展应用到供应链鲁棒性评估与优化方面，并根据供应链节点间相互关系特征，提出基于有序加权平均算子的相互关系矩阵评价方法对IIM核心部分进行了改进。以不可运作性和经济损失为指标对突发事件冲击下供应链各节点及整体的鲁棒性进行了评价，尤其对网络间相互依赖关系导致的扰动连锁传播而形成的间接影响进行了量化，以便识别出脆弱环节，有针对性提出鲁棒优化措施。

英文摘要：

The Inoperability Input-output Model （IIM） for supply chain networks has been proposed, based on the original IIM used in macro-economics. And according to the relationships influencing characteristics of supply chain, the OWA （ Or- dered Weighted Averaging） Operator has been formulated to evaluate the interdependency matrix. The ＂inoperability＂ and ＂economic losses＂ metrics have been used to assess the impacts of disruptions to supply chain networks, especially quan- tized the indirect propagation effects caused by the relationships among nodes in supply chain, to identify the weak links of the network and propose the risk mitigation strategies to reduce the adverse effects.