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Fuzzy-FMEA을 이용한 항공기 운영 리스크 평가 모형

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dc.contributor.author박지현-
dc.contributor.author박창순-
dc.contributor.author안선응-
dc.date.accessioned2021-06-22T18:03:08Z-
dc.date.available2021-06-22T18:03:08Z-
dc.date.issued2016-03-
dc.identifier.issn1598-2475-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/15551-
dc.description.abstractThe major issue in aircraft industry is constructing risk management system for safety management because of increasing demand and advancement of the aircraft. This study is to assess the operational risks of aviation using IRPN(importance risk priority number) which is added to importance coefficient from RPN(risk priority number). In FMEA, RPN requires the factors like the occurrence (O), Severity (S), and Detection (D) of each failure mode. Therefore, the severity and detection is derived by the value from Fuzzy-FMEA of expert group. The occurrence is calculated from the accident statistics of IATA(international air transport association) database. Particularly, this study introduces importance coefficient to prevent from RPN distortions. The RPN distortions are decreased by introducing importance coefficient in the result of an experiment. It is also derived from Fuzzy-FMEA. Finally, the critical ranking of risk factors according to IRPN is similar with the existing research.-
dc.format.extent9-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한설비관리학회-
dc.titleFuzzy-FMEA을 이용한 항공기 운영 리스크 평가 모형-
dc.title.alternativeAircraft Operational Risk Assessment Model using Fuzzy-FMEA-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.bibliographicCitation대한설비관리학회지, v.21, no.1, pp 67 - 75-
dc.citation.title대한설비관리학회지-
dc.citation.volume21-
dc.citation.number1-
dc.citation.startPage67-
dc.citation.endPage75-
dc.identifier.kciidART002096781-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorSafety management-
dc.subject.keywordAuthorRisk assessment-
dc.subject.keywordAuthorFuzzy-FMEA-
dc.subject.keywordAuthorRPN(risk priority number)-
dc.identifier.urlhttps://kiss.kstudy.com/thesis/thesis-view.asp?key=3428398-
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COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

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