Hybrid fuzzy-probabilistic approach to supply chain resilience assessment
提出一种混合模糊概率方法，将涟漪效应和结构重构纳入供应链韧性评估，通过基因组方法考虑设计结构属性，开发韧性指数以比较不同设计对中断传播和恢复的韧性，并识别关键供应商群。
In this paper, the existing models of supply chain resilience assessment are extended by incorporating ripple effect and structure reconfiguration. Ripple effect mitigation control is vital for supply chain risk management from positions of structural resilience and recoverability. The research approach is based on a hybrid fuzzy-probabilistic approach. The genome method is applied with the objective of including the structural properties of supply chain design into resilience assessment. A supply chain design resilience index is developed, and its computation and application are demonstrated. The results suggest a method of comparing different supply chain designs regarding the resilience both to disruption propagation and with recovery consideration. It also allows the identification of groups of critical suppliers whose failure interrupts supply chain operation.