Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts

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dc.cclicenceCC-BY-NCen
dc.contributor.authorZhang, Hengjie
dc.contributor.authorDong, Yucheng
dc.contributor.authorXiao, Jing
dc.contributor.authorChiclana, Francisco
dc.contributor.authorHerrera-Viedma, Enrique
dc.date.acceptance2020-12-30
dc.date.accessioned2021-01-26T09:47:44Z
dc.date.available2021-01-26T09:47:44Z
dc.date.issued2020-12-31
dc.descriptionThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.en
dc.description.abstractAs a forward-looking reliability-management engineering technique, failure mode and effect analysis (FMEA) has been widely utilized to improve the reliability of products, processes, systems, and services. In practice, multiple responsible parties for FMEA implementation have different backgrounds, knowledge levels, and opinions. Integrating consensus into FMEA has some notable merits: the connections between FMEA participants can be strengthened, and a collective solution with a high degree of acceptability to the FMEA problem can be yielded. Meanwhile, the social network relationship among FMEA participants should be an essential element in FMEA because the participants’ opinions are subject to influence by each other and likely to evolve due to their social network interactions. Thus, this study first proposes a social network consensus model with minimum adjustment distance to assist FMEA participants in attaining a consensus, in which participants utilize a linguistic distribution assessment approach to represent their opinions. Second, an opinion evolution-based social network consensus model with minimum adjustment distance is further presented by considering the phenomenon of opinion evolution. Finally, some theoretical analyses, a case study, and a detailed comparative analysis are presented to verify the validity of the proposed FMEA approach.en
dc.funderOther external funder (please detail below)en
dc.funder.otherNational Natural Science Foundation of Chinaen
dc.funder.otherNatural Science Foundation of Jiangsu Provinceen
dc.funder.otherFundamental Research Funds for the Central Universitiesen
dc.funder.otherNational Natural Science Foundation of Chinaen
dc.funder.otherSichuan Universityen
dc.funder.otherFEDER fundsen
dc.identifier.citationZhang, H., Dong, Y., Xiao, J., Chiclana, F., Herrera-Viedma, E. (2021) Consensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contexts. Reliability Engineering and System Safety, 208, 107425.en
dc.identifier.doihttps://doi.org/10.1016/j.ress.2020.107425
dc.identifier.issn0951-8320
dc.identifier.urihttps://dora.dmu.ac.uk/handle/2086/20598
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidGrant no. 18YJC630240en
dc.projectidGrant no. BK20180499en
dc.projectidGrant no. B200202045en
dc.projectidgrant no. 71871149en
dc.projectidgrants Nos. sksyl201705 and 2018hhs-58en
dc.projectidgrant no. TIN2016-75850-Ren
dc.publisherElsevieren
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.subjectReliability managementen
dc.subjectfailure mode and effect analysisen
dc.subjectconsensusen
dc.subjectsocial networken
dc.subjectopinion evolutionen
dc.titleConsensus and opinion evolution-based failure mode and effect analysis approach for reliability management in social network and uncertainty contextsen
dc.typeArticleen

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