采用模糊层次分析法的PFMEA方法改进及应用

为解决因各专家判断矩阵过于均一化而导致的风险排序与实际发生偏差的问题,在传统的基于模糊层次分析法的过程失效模式与分析(PFMEA)方法基础上做进一步的改进.从专家的个体区别和职业类别两方面考虑,分析专家判断矩阵变化程度对专家分组及评估各组别对专家权重的影响,进而合理设定专家权重.通过该改进方法在汽车空调冷凝器制造过程中的实际应用,验证方法的有效性.研究结果表明:改进的基于模糊层次分析法的PFMEA方法能更准确地对产品失效风险进行排序.

Improvement and Application of PFMEA Using Fuzzy Analytic Hierarchy Process

In order to solve the problem that the risk ranking and the actual deviation of the expert judgment matrix are too homogeneous, an improved process failure mode and effect analysis(PFMEA)method based on fuzzy analytic hierarchy process is proposed in which expert weights are set taking into account individual differences and professions of experts. The extent of variation of expert judgment matrix is analyzed, and then experts are grouped and adjustments are made according to group sizes. The proposed method is validated through application examples of automobile air conditioning condenser manufacture. Research results show that compared with the existing method, the improved method can provide more accurate results when sorting the risks of failure modes.