Identifying vulnerable nodes in supply chain based on the risk transmission model

Abstract

When some agents in the supply chain are failure, the whole supply chain may be influenced. This paper presents a framework for identifying vulnerable agents in supply chain network. The framework consists of three main components: supply chain dynamic network, risk transmission model, and identifying vulnerable nodes. The supply chain dynamic network component consists of constructing the supply chain dynamic network according to the topology structure. The risk transmission model component researches on the risk transmission mechanism among nodes, and constructs a concept model which takes both influence degree between two agents, and the contribution rate of each edge into account to measure the vulnerability of each node, the last component uses the fuzzy theory to calculate the vulnerability of each node based on the dynamic network. Such a solving strategy can get the vulnerability, which fits better to the real condition, some numerical experiments are also performed to validate the effectiveness of proposed models.