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dc.contributor.authorRødseth, Harald
dc.date.accessioned2019-02-18T13:54:21Z
dc.date.available2019-02-18T13:54:21Z
dc.date.created2018-11-23T15:39:35Z
dc.date.issued2018
dc.identifier.isbn9781351174657
dc.identifier.urihttp://hdl.handle.net/11250/2586015
dc.description.abstractA relevant issue in manufacturing and production seems to be “silo”-organisations and “silo”-planning with lack of coordination between departments. Integrated Planning (IPL) is a concept that aims to cope with this “silo”-problem. With the ground-breaking potentials from Industry 4.0 it should be expected that the advancement of IPL will speed up in development and implementation in companies. To manage IPL sound Key Performance Indicators (KPIs) must be implemented and established in the company. A promising indicator for IPL is Maintenance Backlog (MB). A strength of this indicator is the capability to be modelled with Risk OMT (Risk modelling—Integration of Organisational, human and Technical factors). It remains to investigate how MB can be modelled to a Quantitative Risk Analysis (QRA). The main objective of this article is to develop a model of MB in QRA. In particular the article demonstrates a case study of a production system where both Fault Tree Analysis (FTA), and Event Tree Analysis (ETA) is modelled. The article discusses the demonstration results and evaluate how potentials in Industry 4.0 can support QRA.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francisnb_NO
dc.relation.ispartofSafety and Reliability – Safe Societies in a Changing World. Proceedings of ESREL 2018, June 17-21, 2018, Trondheim, Norway
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleRisk-based maintenance backlognb_NO
dc.title.alternativeRisk-based maintenance backlognb_NO
dc.typeChapternb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber645-651nb_NO
dc.identifier.doi10.1201/9781351174664
dc.identifier.cristin1634395
dc.description.localcodePublished by Taylor & Francis. Made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/nb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal