Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/81104

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dc.contributor.authorCrispim, Josépor
dc.contributor.authorFernandes, Jorgepor
dc.contributor.authorRego, Nazaré Glória Gonçalvespor
dc.date.accessioned2022-12-13T14:11:32Z-
dc.date.available2022-12-13T14:11:32Z-
dc.date.issued2020-05-01-
dc.identifier.issn0951-8320por
dc.identifier.urihttps://hdl.handle.net/1822/81104-
dc.description.abstractThis paper describes a customized risk assessment framework to be applied in military shipbuilding projects. The framework incorporates the Delphi method with visual diagrams, Bayesian Networks (BN) and the expression of expert opinions through linguistic variables. Noisy-OR and Leak Canonical models are used to determine the conditional probabilities of the BN model. The approach can easily be adapted for other shipbuilding construction projects. The visual diagrams that support the Delphi questionnaire favor the comprehensive visualization of the interdependencies between risks, causes, risks and causes, and risks and effects. The applicability of the framework is illustrated through the assessment of risk of two real military shipbuilding projects. This assessment includes a sensitivity analysis that is useful to prioritize mitigation actions. In the two cases studies, the risks with higher probability of occurrence were failures or errors in production, of the contracted, in the requirements, and in planning. The results of the sensitivity analysis showed that a set of mitigation actions directed at relatively easily controllable causes would have achieved important reductions in risk probabilities.por
dc.description.sponsorship- (undefined)por
dc.language.isoengpor
dc.publisherElsevier Science Ltdpor
dc.rightsopenAccesspor
dc.subjectProject managementpor
dc.subjectShipbuilding projectspor
dc.subjectRisk network modelpor
dc.subjectDelphipor
dc.subjectBayesian networkpor
dc.titleCustomized risk assessment in military shipbuildingpor
dc.typearticle-
dc.peerreviewedyespor
oaire.citationVolume197por
dc.date.updated2022-12-13T13:35:00Z-
dc.identifier.doi10.1016/j.ress.2020.106809por
dc.subject.wosScience & Technology-
sdum.export.identifier12413-
sdum.journalReliability Engineering & System Safetypor
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