Abstract

This paper addresses a hybrid approach for evaluating the risk of vehicle failure modes based on Vlsekriterijumska optimizacija I KOmpromisno Resenje (VIKOR), Analytic Hierarchy Process (AHP) and maintenance data under fuzzy environment. Firstly, the failure modes and risk criteria are decided by expert team according to their experience and maintenance data. Secondly, the weights of risk criteria are determined by using AHP under fuzzy environment. Finally, the ranking of alternatives are presented by employing VIKOR method. In the end, the effectiveness of the proposed hybrid scheme is demonstrated by conducting a case study involving a vehicle type of Hyundai. Besides, a sensitivity analysis is performed to validate the obtained results. To sum up, our numerical analyses indicate that the proposed hybrid method can effectively assist enterprises and researchers in evaluating the risk of vehicle failure modes and improve vehicle safety.

摘要

本文提出了一种基于 Vlsekriterijumska optimizacija I KOmpromisno Resenje (VIKOR)、层次分析法 (AHP) 和模糊环境下的维护数据的混合方法来评估车辆故障模式的风险。首先，故障模式和风险标准由专家团队根据他们的经验和维护数据确定。其次，在模糊环境下利用层次分析法确定风险准则的权重。最后，采用VIKOR方法给出了备选方案的排名。最后，通过对现代汽车类型的案例研究证明了所提出的混合动力方案的有效性。此外，还进行了敏感性分析以验证获得的结果。总结一下，