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Application of fuzzy bow-tie risk analysis to maritime transportation: The case of ship collision during the STS operation

dc.contributor.authorArici, Seher Suendam
dc.contributor.authorAkyuz, Emre
dc.contributor.authorArslan, Ozcan
dc.contributor.ituauthorAkyüz, Emre
dc.date.accessioned2026-01-24T22:41:57Z
dc.date.issued2020-12-01
dc.description.abstractAbstract Risk analysis is of paramount importance in maritime transportation due to the particularly hazardous nature of the work. While the International Maritime Organization (IMO) has circulated Formal Safety Assessment (FSA) for the assessment of on-board risk, it has not introduced a specific tool for risk analysis, and a more proactive approach to the assessment of risk is consequently sought by maritime safety researchers. This paper aims to demonstrate how the fuzzy bow-tie method of analysis might be deployed to quantitatively analyse risk. Focussing on the specific context of ship to ship (STS) cargo operations enables specific insights into the method to be gained. The findings of the research can be utilised by maritime safety professionals (STS superintends, mooring masters, tanker safety inspectors, company fleet managers, and tanker shipowners) in order to mitigate potential risks and enhance marine safety during the STS operation.
dc.description.urihttps://doi.org/10.1016/j.oceaneng.2020.107960
dc.description.urihttps://dx.doi.org/10.1016/j.oceaneng.2020.107960
dc.identifier.doi10.1016/j.oceaneng.2020.107960
dc.identifier.issn0029-8018
dc.identifier.openairedoi_dedup___::2f66def9a8221e77cf7a2e30af8dc925
dc.identifier.orcid0000-0002-0071-9619
dc.identifier.startpage107960
dc.identifier.urihttps://hdl.handle.net/11527/38813
dc.identifier.volume217
dc.language.isoeng
dc.publisherElsevier BV
dc.relation.ispartofOcean Engineering
dc.rightsCLOSED
dc.sdg.typeGoal 14: Life Below Water
dc.titleApplication of fuzzy bow-tie risk analysis to maritime transportation: The case of ship collision during the STS operation
dc.typeArticle
dspace.entity.typePublication
person.identifier.orcid0000-0002-0071-9619

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