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

被引:231
|
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 50 条
  • [41] The evidential reasoning approach for multiple attribute decision analysis using interval belief degrees
    Wang, Ying-Ming
    Yang, Jian-Bo
    Xu, Dong-Ling
    Chin, Kwai-Sang
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 175 (01) : 35 - 66
  • [42] An Improved Grey Target Approach for Technology Contribution Analysis using the Evidential Reasoning Algorithm
    Li Mengjun
    Chang Leilei
    Dou Yajie
    [J]. MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 4660 - 4663
  • [43] Failure Mode and Effects Analysis by Using the House of Reliability-Based Rough VIKOR Approach
    Wang, Zhen
    Gao, Jian-Min
    Wang, Rong-Xi
    Chen, Kun
    Gao, Zhi-Yong
    Zheng, Wei
    [J]. IEEE TRANSACTIONS ON RELIABILITY, 2018, 67 (01) : 230 - 248
  • [44] A software trustworthiness evaluation model using objective weight based evidential reasoning approach
    Shuai Ding
    Xi-Jun Ma
    Shan-Lin Yang
    [J]. Knowledge and Information Systems, 2012, 33 : 171 - 189
  • [45] A software trustworthiness evaluation model using objective weight based evidential reasoning approach
    Ding, Shuai
    Ma, Xi-Jun
    Yang, Shan-Lin
    [J]. KNOWLEDGE AND INFORMATION SYSTEMS, 2012, 33 (01) : 171 - 189
  • [46] Rule and utility based evidential reasoning approach for multiattribute decision analysis under uncertainties
    Yang, JB
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2001, 131 (01) : 31 - 61
  • [47] Specification of a performance indicator using the evidential-reasoning approach
    Cao, Jian
    Chen, Guanghua
    Khoveyni, Mohammad
    Eslami, Robabeh
    Yang, Guoliang
    [J]. KNOWLEDGE-BASED SYSTEMS, 2016, 92 : 138 - 150
  • [48] Combined medical quality assessment using the evidential reasoning approach
    Kong, Guilan
    Xu, Dong-Ling
    Yang, Jian-Bo
    Ma, Xiemin
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (13) : 5522 - 5530
  • [49] Group-based method for fault identification using the diagnoser approach
    Ocheana, Luiza
    Popescu, Dan
    Ferrarini, Luca
    [J]. CONTROL ENGINEERING AND APPLIED INFORMATICS, 2013, 15 (04): : 66 - 76
  • [50] A New Failure Mode and Effects Analysis Method Based on Dempster-Shafer Theory by Integrating Evidential Network
    Wang, Hongfei
    Deng, Xinyang
    Zhang, Zhuo
    Jiang, Wen
    [J]. IEEE ACCESS, 2019, 7 : 79579 - 79591