A hybrid human error probability determination approach: The case of cargo loading operation in oil/chemical tanker ship

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dc.authorid0000-0002-0071-9619en_US
dc.contributor.authorAkyüz, Emre
dc.contributor.authorCelik, Metin
dc.date.accessioned2021-03-20T20:14:28Z
dc.date.available2021-03-20T20:14:28Z
dc.date.issued2016
dc.departmentBTÜ, Denizcilik Fakültesi, Denizcilik İşletmeleri Yönetimi Bölümüen_US
dc.description.abstractHEART (human error assessment and reduction technique) is widely recognized a robust empirical tool in determination of HEP (human error probability) since prediction of human error is of paramount importance in marine industry (Williams, 1988). The method is successfully applied to a variety of domains such as aviation, railway, petrochemical, nuclear power plants, etc. The method has two fundamental parameters; generic error probability (GEP) and error-producing conditions (EPCs). The EPCs are the factors that affect the human performance negatively. The paper deals in principle with one of the methods used for human error probabilities estimation and it suggests its enhancement using analytic hierarchy process (AHP) (Saaty, 1980). Thus, quantification of the subjective judgements of experts during assessed proportion of affect (APOA) calculation is achieved in the course of HEP. To demonstrate the proposed approach, cargo loading operation in oil/chemical tanker ship is selected since the process is very critical to prevent loss of life and marine environment pollution. Consequently, besides its theoretical insight, the paper has practical outcomes to safety practitioners and maritime professionals for estimation of HEP in a specific task. (C) 2016 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [114M352]en_US
dc.description.sponsorshipThis article is prepared during the initial phase of the research project entitled "Human Reliability Analysis and Monitoring System Proposal in Shipboard Operations (H-RAMS)" (Project no: 114M352) of the Scientific and Technological Research Council of Turkey (TUBITAK). The authors wish to give their appreciation for financial support.en_US
dc.identifier.doi10.1016/j.jlp.2016.06.020en_US
dc.identifier.endpage431en_US
dc.identifier.issn0950-4230
dc.identifier.issn1873-3352
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage424en_US
dc.identifier.urihttp://doi.org/10.1016/j.jlp.2016.06.020
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1058
dc.identifier.volume43en_US
dc.identifier.wosWOS:000384775400044en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAkyüz, Emre
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofJournal Of Loss Prevention In The Process Industriesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMaritime safetyen_US
dc.subjectHEPen_US
dc.subjectLoss preventionen_US
dc.subjectOil/chemical tankeren_US
dc.titleA hybrid human error probability determination approach: The case of cargo loading operation in oil/chemical tanker shipen_US
dc.typeArticleen_US

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