The System Failure Analysis Based on Fuzzy Fault Tree for Automobile Logistics Service Supply Chain

Abstract

Abstract Reducing the system failure rate of logistics service supply chain (LSSC) is the basic guarantee and supporting conditions of LSSC system operational stability. The paper, regarding the automobile logistics service supply chain system composed by logistics service integrators, logistics service providers and car manufacturer as the research object, sets up the fault tree model of the automobile logistics service supply chain system failure, and describes, by the triangular fuzzy number, the probability of basic event failure. Then based on the examples, the paper calculates the confidence interval of automobile logistics service supply chain failure, logistics integrators failure and logistics functions provider failure, and concludes the fuzzy importance sequence of basic event for the logistics service supply chain system failure. Finally, the paper analyzes the reasons for the logistics service supply chain system failure and proposes improvement measures.