[1]夏蓓鑫,陈鑫,李龙,等.采用模糊层次分析法的PFMEA方法改进及应用[J].华侨大学学报(自然科学版),2017,38(6):868-874.[doi:10.11830/ISSN.1000-5013.201611059]
　XIA Beixin,CHEN Xin,LI Long,et al.Improvement and Application of PFMEA Using Fuzzy Analytic Hierarchy Process[J].Journal of Huaqiao University(Natural Science),2017,38(6):868-874.[doi:10.11830/ISSN.1000-5013.201611059]
点击复制

采用模糊层次分析法的PFMEA方法改进及应用()
分享到：

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第38卷
期数:
2017年第6期
页码:
868-874
栏目:
出版日期:
2017-11-20

文章信息/Info

Title:
Improvement and Application of PFMEA Using Fuzzy Analytic Hierarchy Process
文章编号:
1000-5013(2017)06-0868-07
作者:
夏蓓鑫1;  陈鑫1;  李龙1;  陶宁蓉2;  张佳栋1
1. 上海大学 机电工程与自动化学院, 上海 200072;2. 上海海洋大学 工程学院, 上海 201306
Author(s):
XIA Beixin1;  CHEN Xin1;  LI Long1;  TAO Ningrong2;  ZHANG Jiadong1
1. School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China; 2. College of Engineering, Shanghai Ocean University, Shanghai 201306, China
关键词:
汽车空调冷凝器;  产品失效;  过程失效模式与分析法;  模糊层次分析法;  专家权重
Keywords:
automobile air conditioning condenser;  product failure;  process failure mode and effect analysis method;  fuzzy analytic hierarchy process;  expert weight
分类号:
TH162.1
DOI:
10.11830/ISSN.1000-5013.201611059
文献标志码:
A
摘要:
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.
Abstract:
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.

参考文献/References:

[1] 门峰,姬升启.基于模糊集与灰色关联的改进FMEA方法[J].工业工程与管理,2008,13(2):55-59.
[2] 张得平.SHB公司PFMEA的应用及改进研究[D].上海:华东理工大学,2013.
[3] 孙璐璐,周晓军,奚立峰.基于FMEA的污水排放设备维护策略[J].工业工程与管理,2007,12(6):50-54.
[4] DINMOHAMMADI F,SHAFIEE M.A fuzzy-FMEA assessment approach for offshore wind turbines[J].International Journal of Prognostics and Health Management,2013,4(S2):59-68.
[5] SELLAPPAN N,PALANIKUMAR K.Modified prioritization methodology for risk priority number in failure mode and effect analysis[J].International Journal of Applied Science and Technology,2013,3(4):27-36.
[6] 盛精,王君,罗善明.采用模糊理论的零部件工艺PFMEA评估[J].华侨大学学报(自然科学版),2015,36(6):609-614.
[7] BOWLES J B,PELAEZ C E.Fuzzy logic prioritization of failures in a system failure modes, effects and criticality analysis[J].Reliability Engineering and System Safety,1995,50(2):203-213.
[8] 杜晗恒,彭翀.基于模糊TOPSIS的FMEA方法[J].北京航空航天大学学报,2016,42(2):368-374.
[9] 王浩伦,徐翔斌,甘卫华.基于三角模糊软集的FMEA风险评估方法[J].计算机集成制造系统,2015,21(11):3054-3062.
[10] 安相华,于靖博,蔡卫国.基于混合多属性决策和关联分析的模糊粗糙FMEA评估方法[J].计算机集成制造系统,2016,22(11):2613-2621.
[11] 耿秀丽,张永政.基于犹豫模糊集的改进FMEA风险评估方法[J].计算机集成制造系统,2017,23(2):340-348.

备注/Memo

备注/Memo:
收稿日期: 2016-11-17
通信作者: 夏蓓鑫(1984-),男,讲师, 博士,主要从事可靠性工程的研究.E-mail:3bxxia@shu.edu.cn.
基金项目: 国家自然科学基金资助项目(71401098); 上海市高校青年教师培养资助计划(ZZSD15047)
更新日期/Last Update: 2017-11-20