A resilient supply chain design method considering node disruption risk
The global development of supply chains has brought broad prospects to enterprises,but huge supply chain systems are faced with increasing risk of disruption,bringing huge potential risks to enterprises.Nevertheless,due to the unpredictability of these disruptions,the design of resilient supply chains to effectively mitigate disruptions remains an underdeveloped field.Against this background,this paper establishes a novel resilient supply chain design optimization method aimed at enhancing the supply chain's ability to withstand disruptions.Node disruption impact index(NDII)is introduced and defined to reflect the severity of node disruptions.Risk weight(RW)is defined to represent the degree of supply chain risk,thus avoiding predictions regarding risk scenarios and their probability distributions.RW also highlights the importance enterprises place on supply chain resilience.Based on robust optimization(RO)techniques,we establish an NDII-RO optimization framework that penalizes high-risk nodes.This method is applied to the optimization of a biofuel supply chain in Guangdong province.The optimization results demonstrate that this approach is capable of achieving a resilient supply chain design that can withstand disruptions.
万方数据
维普
