Scenario-Based Supply Chain Resilience Analysis of Bearings

Bearings, as an indispensable part of modern industry, and the related supply chain resilience in regard to maintaining the overall operational efficiency and competitiveness of the manufacturing industry, are highly significant. Integrating the triangular fuzzy number (TRFN), cross-influence analysis (CIA), and the adversarial interpretive structure model (AISM), this paper proposes a TCIA-AISM scenario model to analyze the resilience of the bearing supply chain. A hierarchical structure diagram is formed to clarify the transmission path of events that affect bearing supply chain resilience, identify the root cause and direct events that affect the results, and realize the visual analysis of such events. The probability of the outcome is predicted and the simulation of the scenario development trajectory provides a scientific basis for decision-makers to formulate reasonable emergency strategies. The validity of the method is verified by using an interruption event involving the G-enterprise case study as an example.