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dc.contributor.authorErdogan, Gencer
dc.contributor.authorRefsdal, Atle
dc.contributor.authorNygård, Bjørn
dc.contributor.authorRosland, Ole Petter
dc.contributor.authorRandeberg, Bernt Kvam
dc.date.accessioned2018-08-24T08:35:36Z
dc.date.available2018-08-24T08:35:36Z
dc.date.created2018-07-31T11:13:22Z
dc.date.issued2018
dc.identifier.citationBusiness Systems Research Journal. 2018, 9 (2), 55-68.nb_NO
dc.identifier.issn1847-8344
dc.identifier.urihttp://hdl.handle.net/11250/2559174
dc.description.abstractBackground: During major maintenance projects on offshore installations, flotels are often used to accommodate the personnel. A gangway connects the flotel to the installation. If the offshore conditions are unfavorable, the responsible operatives need to decide whether to lift (disconnect) the gangway from the installation. If this is not done, there is a risk that an uncontrolled autolift (disconnection) occurs, causing harm to personnel and equipment. Objectives: We present a decision support model, developed using the DEXi tool for multi-criteria decision making, which produces advice on whether to disconnect/connect the gangway from/to the installation. Moreover, we report on our development method and experiences from the process, including the efforts invested. An evaluation of the resulting model is also offered, primarily based on feedback from a small group of offshore operatives and domain experts representing the end user target group. Methods/Approach: The decision support model was developed systematically in four steps: establish context, develop the model, tune the model, and collect feedback on the model. Results: The results indicate that the decision support model provides advice that corresponds with expert expectations, captures all aspects that are important for the assessment, is comprehensible to domain experts, and that the expected benefit justifies the effort for developing the model. Conclusions: We find the results promising, and believe that the approach can be fruitful in a wider range of risk-based decision support scenarios. Moreover, this paper can help other decision support developers decide whether a similar approach can suit them.nb_NO
dc.description.abstractRisk-Based Decision Support Model for Offshore Installationsnb_NO
dc.language.isoengnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleRisk-Based Decision Support Model for Offshore Installationsnb_NO
dc.title.alternativeRisk-Based Decision Support Model for Offshore Installationsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber55-68nb_NO
dc.source.volume9nb_NO
dc.source.journalBusiness Systems Research Journalnb_NO
dc.source.issue2nb_NO
dc.identifier.doi10.2478/bsrj-2018-0019
dc.identifier.cristin1599119
dc.relation.projectNorges forskningsråd: 236657nb_NO
cristin.unitcode7401,90,12,0
cristin.unitnameNettbaserte systemer og tjenester
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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