Failure mode and effects analysis using a group-based evidential reasoning approach
被引:233
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作者:
Chin, Kwai-Sang
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机构:
City Univ Hong Kong, Dept Mfg Engn & Engn Management, Kowloon, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Mfg Engn & Engn Management, Kowloon, Hong Kong, Peoples R China
Chin, Kwai-Sang
[1
]
Wang, Ying-Ming
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机构:
Fuzhou Univ, Sch Publ Adm, Fuzhou 350002, Peoples R ChinaCity Univ Hong Kong, Dept Mfg Engn & Engn Management, Kowloon, Hong Kong, Peoples R China
Wang, Ying-Ming
[2
]
Poon, Gary Ka Kwai
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City Univ Hong Kong, Dept Mfg Engn & Engn Management, Kowloon, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Mfg Engn & Engn Management, Kowloon, Hong Kong, Peoples R China
Poon, Gary Ka Kwai
[1
]
Yang, Jian-Bo
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机构:
Univ Manchester, Manchester Business Sch, Manchester M15 6PB, Lancs, EnglandCity Univ Hong Kong, Dept Mfg Engn & Engn Management, Kowloon, Hong Kong, Peoples R China
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
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.
机构:
School of Computer and Information Science, Southwest UniversitySchool of Computer and Information Science, Southwest University
Du Y.
Mo H.
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机构:
School of Computer and Information Science, Southwest University
Department of the Tibetan Language, Sichuan University of Nationalities, Sichuan 626001, KangdingSchool of Computer and Information Science, Southwest University
Mo H.
Deng X.
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机构:
School of Computer and Information Science, Southwest UniversitySchool of Computer and Information Science, Southwest University
Deng X.
Sadiq R.
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机构:
School of Engineering, University of British Columbia Okanagan, Kelowna, BCSchool of Computer and Information Science, Southwest University
Sadiq R.
Deng Y.
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机构:
School of Computer and Information Science, Southwest University
School of Engineering, Vanderbilt University, NashvilleSchool of Computer and Information Science, Southwest University
机构:
Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China
Minist Educ, Key Lab Proc Optimizat & Intelligent Decis Making, Hefei 230009, Anhui, Peoples R ChinaHefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China
Fu, Chao
Yang, Jian-Bo
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机构:
Univ Manchester, Manchester Business Sch, Manchester M15 6PB, Lancs, EnglandHefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China
Yang, Jian-Bo
Yang, Shan-Lin
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机构:
Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China
Minist Educ, Key Lab Proc Optimizat & Intelligent Decis Making, Hefei 230009, Anhui, Peoples R ChinaHefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China