Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review

•This paper provides a comprehensive review of FMEA using MCDM methods.•The 169 articles were found and classified according to the used MCDM methods.•The risk factors, risk factor weighting methods and risk assessment methods are analyzed.•Directions for future research to adopt MCDM methods for FM...

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Published inComputers & industrial engineering Vol. 135; pp. 881 - 897
Main Authors Liu, Hu-Chen, Chen, Xu-Qi, Duan, Chun-Yan, Wang, Ying-Ming
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.09.2019
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Abstract •This paper provides a comprehensive review of FMEA using MCDM methods.•The 169 articles were found and classified according to the used MCDM methods.•The risk factors, risk factor weighting methods and risk assessment methods are analyzed.•Directions for future research to adopt MCDM methods for FMEA are provided. Failure mode and effect analysis (FMEA) is a proactive reliability management technique extensively utilized in a variety of fields. To enhance the effectiveness of FMEA, a great many multi-criteria decision making (MCDM) methods have been applied for properly evaluating the risk of failure modes over the past two decades. However, there is a lack of study concerning systematic literature review and classification of the researches on this topic. This article aims to provide a comprehensive review of the FMEA studies using MCDM approaches for evaluation and prioritization of failure modes. To do so, a total of 169 journal papers extracted from the online database over the period of 1998–2018 were selected and reviewed. These publications were classified into 10 categories according to the used MCDM methods, and analyzed in regard to the risk factors, risk factor weighting methods, and risk assessment methods in FMEA. Furthermore, a bibliometric analysis was performed based on the frequency of MCDM methods, number of citations, year of publication, appeared journals, country of origin and application areas. This research supports academics and practitioners in effectively adopting MCDM methods to overcome the deficiencies of the traditional FMEA and provides an insight into its state-of-the-art.
AbstractList •This paper provides a comprehensive review of FMEA using MCDM methods.•The 169 articles were found and classified according to the used MCDM methods.•The risk factors, risk factor weighting methods and risk assessment methods are analyzed.•Directions for future research to adopt MCDM methods for FMEA are provided. Failure mode and effect analysis (FMEA) is a proactive reliability management technique extensively utilized in a variety of fields. To enhance the effectiveness of FMEA, a great many multi-criteria decision making (MCDM) methods have been applied for properly evaluating the risk of failure modes over the past two decades. However, there is a lack of study concerning systematic literature review and classification of the researches on this topic. This article aims to provide a comprehensive review of the FMEA studies using MCDM approaches for evaluation and prioritization of failure modes. To do so, a total of 169 journal papers extracted from the online database over the period of 1998–2018 were selected and reviewed. These publications were classified into 10 categories according to the used MCDM methods, and analyzed in regard to the risk factors, risk factor weighting methods, and risk assessment methods in FMEA. Furthermore, a bibliometric analysis was performed based on the frequency of MCDM methods, number of citations, year of publication, appeared journals, country of origin and application areas. This research supports academics and practitioners in effectively adopting MCDM methods to overcome the deficiencies of the traditional FMEA and provides an insight into its state-of-the-art.
Author Wang, Ying-Ming
Chen, Xu-Qi
Duan, Chun-Yan
Liu, Hu-Chen
Author_xml – sequence: 1
  givenname: Hu-Chen
  orcidid: 0000-0003-4566-2107
  surname: Liu
  fullname: Liu, Hu-Chen
  organization: School of Management, Shanghai University, Shanghai 200444, PR China
– sequence: 2
  givenname: Xu-Qi
  surname: Chen
  fullname: Chen, Xu-Qi
  organization: School of Management, Shanghai University, Shanghai 200444, PR China
– sequence: 3
  givenname: Chun-Yan
  surname: Duan
  fullname: Duan, Chun-Yan
  email: duanchunyan@tongji.edu.cn
  organization: School of Economics and Management, Tongji University, Shanghai 200092, PR China
– sequence: 4
  givenname: Ying-Ming
  surname: Wang
  fullname: Wang, Ying-Ming
  organization: Decision Sciences Institute, Fuzhou University, Fuzhou 350116, PR China
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elsevier_sciencedirect_doi_10_1016_j_cie_2019_06_055
PublicationCentury 2000
PublicationDate 2019-09-01
PublicationDateYYYYMMDD 2019-09-01
PublicationDate_xml – month: 09
  year: 2019
  text: 2019-09-01
  day: 01
PublicationDecade 2010
PublicationTitle Computers & industrial engineering
PublicationYear 2019
Publisher Elsevier Ltd
Publisher_xml – name: Elsevier Ltd
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  year: 2012
  ident: 10.1016/j.cie.2019.06.055_b0410
  article-title: Fuzzy failure modes and effects analysis by using fuzzy TOPSIS-based fuzzy AHP
  publication-title: Expert Systems with Applications
  doi: 10.1016/j.eswa.2011.06.044
  contributor:
    fullname: Kutlu
– volume: 33
  start-page: 993
  issue: 5
  year: 2017
  ident: 10.1016/j.cie.2019.06.055_b0425
  article-title: An evidential failure mode and effects analysis using linguistic terms
  publication-title: Quality and Reliability Engineering International
  doi: 10.1002/qre.2075
  contributor:
    fullname: Li
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Snippet •This paper provides a comprehensive review of FMEA using MCDM methods.•The 169 articles were found and classified according to the used MCDM methods.•The risk...
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SubjectTerms Failure mode and effect analysis (FMEA)
Literature review
Multi-criteria decision making (MCDM)
Reliability management
Risk analysis
Title Failure mode and effect analysis using multi-criteria decision making methods: A systematic literature review
URI https://dx.doi.org/10.1016/j.cie.2019.06.055
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