[1]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.[doi:10.11830/ISSN.1000-5013.2015.06.0609]
　SHENG Jing,WANG Jun,LUO Shanming.PFMEA Evaluation of Parts Process Based on Fuzzy Theory[J].Journal of Huaqiao University(Natural Science),2015,36(6):609-614.[doi:10.11830/ISSN.1000-5013.2015.06.0609]
点击复制

采用模糊理论的零部件工艺PFMEA评估()
分享到：

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

卷:
第36卷
期数:
2015年第6期
页码:
609-614
栏目:
出版日期:
2015-11-10

文章信息/Info

Title:
PFMEA Evaluation of Parts Process Based on Fuzzy Theory
文章编号:
1000-5013(2015)06-0609-06
作者:
盛精;  王君;  罗善明
厦门理工学院 机械与汽车工程学院, 福建 厦门 361024
Author(s):
SHENG Jing;  WANG Jun;  LUO Shanming
School of Mechanical and Automotive Engineering, Xiamen University of technology, Xiamen 361024, China
关键词:
工艺过程;  风险评估;  过程失效模式及后果分析;  模糊评价;  层次分析法
Keywords:
process;  risk assessment;  process failure mode and effect analysis;  fuzzy theory;  analytic hierarchy process
分类号:
TH162.1
DOI:
10.11830/ISSN.1000-5013.2015.06.0609
文献标志码:
A
摘要:
为了控制和降低零部件的制造质量风险,在对零部件工艺过程进行分析的基础上,提出基于模糊理论的潜在失效模式及后果分析(PFEMA)方法.通过研究零部件加工过程的风险评估,构建基于生产成本的评价指标;设计评价因素集和因素水平集,并用层次分析法确定评价因素的权重,提出零部件制造工艺的风险评估模型;采用模糊评价决策,定量计算其综合评价值,进而确定其风险等级.以某型号叉车门架系统的横梁加工工艺为例进行实例验证,结果表明:改进后PFMEA方法的可行性和正确性.
Abstract:
In order to control and reduce the risk of parts manufacturing quality, based on the analysis of the process of parts and components,the potential failure mode and effect analysis(PFEMA)method based on fuzzy theory is proposed. By studying the risk assessment of parts processing process, the evaluation index based on production cost is constructed. Designing evaluation factor set and factor level set, and the weights of the evaluation factors are determined by the analytic hierarchy process, then risk assessment model of component manufacturing process is put forward. Fuzzy evaluation is used to calculate the comprehensive evaluation value, and then determine the risk level. Taking the cross beam manufacturing process of a certain type of forklift truck door frame system as an example, the results show that the improved PFMEA method is feasible and correct.

参考文献/References:

[1] 中华人民共和国国家质量监督检验检疫总局,中国国家标准化管理委员会.系统可靠性分析技术失效模式和影响分析(FMEA)程序:GBT 7826-2012[S].北京:中国标准出版社,2012:5-11.
[2] YEH T M,CHEN Longyi.Fuzzy-based risk priority number in FMEA for semiconductor wafer processes[J].International Journal of Production Research,2014,52(2):539-549.
[3] SHAHIN A.Integration of FMEA and the Kano model: An exploratory examination[J].International Journal of Quality and Reliability Management,2004,21(7):731-746.
[4] 高鹏程.FMEA与FTA在阴极电泳项目质量管理中的应用研究[D].上海:上海交通大学,2011:10-17.
[5] 陈超.基于FMEA和BFA的产品失效分析方法的研究[D].上海:东华大学,2011:12-17.
[6] 聂淼.FMEA技术研究与软件系统发展[D].合肥:合肥工业大学,2007:10-16.
[7] BARENDS D M,OLDENHOF M T,VREDENBREGT M J,et al.Risk analysis of analytical validations by probabilistic modification of FMEA[J].Journal of Pharmaceutical and Biomedical Analysis,2012,64/65(4):82-86.
[8] 赖昱光,管霖,王滔,等.基于模糊综合评判的直流输电系统检修时机选择方法[J].电力自动化设备,2014,34(9):90-94.
[9] 马存宝,李雯,孙焱,等.基于模糊理论的FMEA方法研究[J].测控技术,2013,32(8):137-144.
[10] 李涛.基于模糊层次分析法和灰色关联分析方法的变电站选址研究[D].郑州:郑州大学,2014:15-17.
[11] 崔文彬,吴桂涛,孙培廷,等.基于FMEA和模糊综合评判的船舶安全评估[J].哈尔滨工程大学学报,2007,28(3):263-267.
[12] 梁晓飞,郑小燕,李忠梅.基于可信性理论的桥梁基础施工风险评估[J].合肥工业大学学报(自然科学版),2014,37(12):1483-1487.

相似文献/References:

[1]欧阳通,刘耀兴,李秋蓉,等.砷污染土壤对人体健康的风险评估应用[J].华侨大学学报(自然科学版),2008,29(1):152.[doi:10.11830/ISSN.1000-5013.2008.01.0152]
　OUYANG Tong,LIU Yao-xing,LI Qiu-rong,et al.In Vitro Assessing Risk of As-Contaminated Soils to Human Health[J].Journal of Huaqiao University(Natural Science),2008,29(6):152.[doi:10.11830/ISSN.1000-5013.2008.01.0152]
[2]项剑平,王玉芳,张云波,等.代建制多项目管理风险评价指标体系的构建[J].华侨大学学报(自然科学版),2014,35(5):581.[doi:10.11830/ISSN.1000-5013.2014.05.0581]
　XIANG Jian-ping,WANG Yu-fang,ZHANG Yun-bo,et al.Risk Assessment of Multi-Project Management under Agent Construction System Management Mode[J].Journal of Huaqiao University(Natural Science),2014,35(6):581.[doi:10.11830/ISSN.1000-5013.2014.05.0581]

备注/Memo

备注/Memo:
收稿日期: 2015-07-12
通信作者: 盛精(1965-),男,教授,博士,主要从事汽车零部件CAD/CAE的研究.E-mail:shengjing@xmut.edu.cn.
基金项目: 国家自然科学基金资助项目(51375411); 厦门理工学院科研基金资助项目(YKJ11005R)
更新日期/Last Update: 2015-11-20