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dc.contributor.authorSezer, Şükrü İlke
dc.contributor.authorAkyüz, Emre
dc.contributor.authorArslan, Özcan
dc.date.accessioned2022-11-14T08:14:23Z
dc.date.available2022-11-14T08:14:23Z
dc.date.issued2022en_US
dc.identifier.citationSezer, S.I., Akyuz, E., Arslan, O.(2022). An extended HEART Dempster–Shafer evidence theory approach to assess human reliability for the gas freeing process on chemical tankers. Reliability Engineering and System Safety, 220, art. no. 108275 https://doi.org/10.1016/j.ress.2021.108275en_US
dc.identifier.urihttps://doi.org/10.1016/j.ress.2021.108275
dc.identifier.urihttps://hdl.handle.net/20.500.12508/2239
dc.description.abstractHuman reliability assessment is vital for most critical shipboard operations such as cargo loading, discharging, purging, gas freeing, etc. on chemical tanker ships since the nature of these processes poses significant threats. There are few human reliability studies particularly applied to shipboard operations in the maritime industry. To remedy this gap, the paper assesses human reliability systematically during the gas freeing process on a chemical tanker ship. To achieve this purpose, an extended HEART D-S (Dempster-Shafer) evidence theory approach is utilised. Although HEART (Human Error Assessment and Reduction Technique) presents a practical human reliability assessment tool, it heavily relies on the judgment of a single rater during APOE (assess proportion of effect). The paper adopts D-S evidence theory to remedy the aforementioned gap since it fuses raters' opinions. The first novelty of the proposed hybrid method is the use of customized task analysis for shipboard applications within a second-generation HEART D-S evidence method in the maritime industry. Besides its theoretical background, the paper provides practical contributions to maritime safety professionals, chemical tanker ship owners, and safety inspectors to enhance their operational safety and to minimize the probability of human error during the gas freeing process on board chemical tanker ships.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.ress.2021.108275en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectChemical tankeren_US
dc.subjectD-S evidence theoryen_US
dc.subjectGas freeing processen_US
dc.subjectHuman reliabilityen_US
dc.subject.classificationHuman Error
dc.subject.classificationNuclear Power Plants
dc.subject.classificationErgonomics
dc.subject.classificationEngineering
dc.subject.classificationOperations Research & Management Science
dc.subject.classificationElectrical Engineering, Electronics & Computer Science - Safety & Maintenance - Safety Climate
dc.subject.otherHuman error probabilities
dc.subject.otherS evidence theory
dc.subject.otherOperation
dc.subject.otherMarine
dc.subject.otherFuzzy
dc.subject.otherShip
dc.subject.otherPrediction
dc.subject.otherInformation
dc.subject.otherAccidents
dc.subject.otherHazards
dc.subject.otherGases
dc.subject.otherJob analysis
dc.subject.otherReliability analysis
dc.subject.otherReliability theory
dc.subject.otherShips
dc.subject.otherAssessment technique
dc.subject.otherChemical tankers
dc.subject.otherDempster shafer evidence theory
dc.subject.otherError reduction
dc.subject.otherGas freeing process
dc.subject.otherHuman error assessment
dc.subject.otherHuman reliability
dc.subject.otherHuman reliability assessments
dc.subject.otherReduction techniques
dc.subject.otherShipboard operations
dc.subject.otherErrors
dc.titleAn extended HEART Dempster-Shafer evidence theory approach to assess human reliability for the gas freeing process on chemical tankersen_US
dc.typearticleen_US
dc.relation.journalReliability Engineering and System Safetyen_US
dc.contributor.departmentBarbaros Hayrettin Gemi İnşaatı ve Denizcilik Fakültesi -- Deniz Ulaştırma İşletme Mühendisliği Bölümüen_US
dc.identifier.volume220en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.isteauthorSezer, Şükrü İlke
dc.relation.indexWeb of Science - Scopusen_US
dc.relation.indexWeb of Science Core Collection - Science Citation Index Expanded
dc.relation.indexWeb of Science Core Collection - Social Sciences Citation Index


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