dc.contributor.author | Halvorsen-Weare, Elin Espeland | |
dc.contributor.author | Nonås, Lars Magne | |
dc.date.accessioned | 2024-05-07T09:27:49Z | |
dc.date.available | 2024-05-07T09:27:49Z | |
dc.date.created | 2023-11-20T14:00:13Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Journal of Physics: Conference Series (JPCS). 2023, 2626: 012040. | en_US |
dc.identifier.issn | 1742-6588 | |
dc.identifier.uri | https://hdl.handle.net/11250/3129402 | |
dc.description.abstract | For offshore wind farms, a move from a preventive and corrective maintenance regime to a predictive maintenance regime requires new methods for modelling approaches for maritime logistics planning. This paper presents an overview of the maritime logistics planning problem for a predictive maintenance regime and introduces the current state-of-the-art for operational research in the field of operation and maintenance at offshore wind farms. Findings are that a combination of the vessel resource scheduling problem for operation and maintenance at offshore wind farms with predictive analysis and digital twins is a promising future research step. A framework for a decision support tool is presented that will help bridge the gap, both with respect to the academic path, and the gap between academic research and industry. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | IOP Publishing | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Maritime logistics optimisation for predictive maintenance at offshore wind farms | en_US |
dc.title.alternative | Maritime logistics optimisation for predictive maintenance at offshore wind farms | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Published by IOP Publishing under a CC BY license. | en_US |
dc.source.pagenumber | 10 | en_US |
dc.source.volume | 2626 | en_US |
dc.source.journal | Journal of Physics: Conference Series (JPCS) | en_US |
dc.identifier.doi | 10.1088/1742-6596/2626/1/012040 | |
dc.identifier.cristin | 2198892 | |
dc.relation.project | Norges forskningsråd: 321954 | en_US |
dc.source.articlenumber | 012040 | en_US |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |