Failure mode and effects analysis using a group-based evidential reasoning approach

被引:237
作者
Chin, Kwai-Sang [1 ]
Wang, Ying-Ming [2 ]
Poon, Gary Ka Kwai [1 ]
Yang, Jian-Bo [3 ]
机构
[1] City Univ Hong Kong, Dept Mfg Engn & Engn Management, Kowloon, Hong Kong, Peoples R China
[2] Fuzhou Univ, Sch Publ Adm, Fuzhou 350002, Peoples R China
[3] Univ Manchester, Manchester Business Sch, Manchester M15 6PB, Lancs, England
关键词
Failure mode and effects analysis; Evidential reasoning approach; Uncertainty modeling; Minimax regret ranking; ATTRIBUTE DECISION-ANALYSIS; FUZZY INFERENCE; SYSTEM; FMECA;
D O I
10.1016/j.cor.2008.05.002
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Failure mode and effects analysis (FMEA) is a methodology to evaluate a system, design, process or service for possible ways in which failures (problems, errors, risks and concerns) can occur. It is a group decision function and cannot be done on an individual basis. The FMEA team often demonstrates different opinions and knowledge from one team member to another and produces different types of assessment information such as complete and incomplete. precise and imprecise and known and unknown because of its cross-functional and multidisciplinary nature. These different types of information are very difficult to incorporate into the FMEA by the traditional risk priority number (RPN) model and fuzzy rule-based approximate reasoning methodologies. In this paper we present an FMEA using the evidential reasoning (ER) approach, a newly developed methodology for multiple attribute decision analysis. The proposed FMEA is then illustrated with an application to a fishing vessel. As is illustrated by the numerical example, the proposed FMEA can well capture FMEA team members' diversity opinions and prioritize failure modes under different types of uncertainties. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1768 / 1779
页数:12
相关论文
共 42 条
[1]  
Ben-Daya M., 1996, International Journal of Quality Reliability Management, V1, P43, DOI DOI 10.1108/02656719610108297
[2]  
Bevilacqua M, 2000, QUAL RELIAB ENG INT, V16, P313, DOI 10.1002/1099-1638(200007/08)16:4<313::AID-QRE434>3.0.CO
[3]  
2-U
[4]  
Bowles J. B., 2004, Journal of the IEST, V47, P51
[5]   FUZZY-LOGIC PRIORITIZATION OF FAILURES IN A SYSTEM FAILURE MODE, EFFECTS AND CRITICALITY ANALYSIS [J].
BOWLES, JB ;
PELAEZ, CE .
RELIABILITY ENGINEERING & SYSTEM SAFETY, 1995, 50 (02) :203-213
[6]  
Braglia M., 2003, International Journal of Quality Reliability Management, V20, P503, DOI 10.1108/02656710310468687
[7]   Fuzzy TOPSIS approach for failure mode, effects and criticality analysis [J].
Braglia, M ;
Frosolini, M ;
Montanari, R .
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, 2003, 19 (05) :425-443
[8]  
Braglia M., 2000, INT J QUAL RELIAB MA, V17, P1017, DOI [10.1108/02656710010353885, DOI 10.1108/02656710010353885]
[9]   Failure mode and effects analysis using grey theory [J].
Chang, C.-L. ;
Liu, P.-H. ;
Wei, C.-C. .
Integrated Manufacturing Systems, 2001, 12 (03) :211-216
[10]  
Ching-Liang Chang, 1999, Kybernetes, V28, P1072, DOI 10.1108/03684929910300295