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dc.contributor.authorAhmed, Awil Abdrahman Ahmed
dc.contributor.authorLiu, Yiliu
dc.date.accessioned2018-09-04T13:13:11Z
dc.date.available2018-09-04T13:13:11Z
dc.date.created2018-08-15T13:15:10Z
dc.date.issued2018
dc.identifier.issn0020-7543
dc.identifier.urihttp://hdl.handle.net/11250/2560763
dc.description.abstractMany production systems are multistate, with a finite number of performance levels that are between perfect functioning and complete failure. Importance measures are often used in the maintenance planning of complicated systems, to observe the criticalities of components, reveal the system weakness, and thus to guide the allocation of limited maintenance resources. This paper compares several commonly used importance measures for multistate systems, and investigates their effectiveness and limitations with a simple example. These existing measures focus on the states of a system at some moment, while ignoring the dynamic behaviours in the long-term. For a production system, however, its throughput in a certain period, rather than the instantaneous performance, is the system property of interest. Therefore, two new long-term throughput-based importance measures: total throughput importance measure and maintenance effect importance measure are proposed in this paper, to answer the questions about the criticalities of different components and the long-term effects of successful maintenance activities on the throughput of a production system in a certain period. A case study on an offshore production system is conducted, to illustrate how the new importance measures work and what kind of implications can be provided to the maintenance crew.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francisnb_NO
dc.titleThroughput-based importance measures of multistate production systemsnb_NO
dc.typeJournal articlenb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.journalInternational Journal of Production Researchnb_NO
dc.identifier.doi10.1080/00207543.2018.1442947
dc.identifier.cristin1602201
dc.description.localcodeThis is an [Original Manuscript] of an article published by Taylor & Francis in [International Journal of Production Research] on [28 Feb 2018], available at https://doi.org/10.1080/00207543.2018.1442947nb_NO
cristin.unitcode194,0,0,0
cristin.unitcode194,64,92,0
cristin.unitnameNorges teknisk-naturvitenskapelige universitet
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode2


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