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dc.contributor.authorMohammadi, Mehrdad
dc.contributor.authorDauzère-Pérès, Stéphane
dc.contributor.authorYugma, Claude
dc.date.accessioned2019-06-03T12:31:02Z
dc.date.available2019-06-03T12:31:02Z
dc.date.created2019-01-17T13:33:45Z
dc.date.issued2018
dc.identifier.citationInternational Journal of Production Research. 2018, 57 (5), 1497-1523.nb_NO
dc.identifier.issn0020-7543
dc.identifier.urihttp://hdl.handle.net/11250/2599733
dc.description.abstractPerformance evaluation, and in particular cycle time estimation, is critical to optimise production plans in high-tech manufacturing industries. This paper develops a new aggregation model based on queuing network, so-called queue-based aggregation (QAG) model, to estimate the cycle time in a production system. Multiple workstations in serial and job-shop configurations are aggregated into a single-step workstation. The parameters of the aggregated workstation are approximated based on the parameters of the original workstations. Numerical experiments indicate that the proposed QAG model is computationally efficient and yields fairly accurate results when compared to other aggregation approaches in the literature.nb_NO
dc.description.abstractPerformance evaluation of single and multi-class production systems using an approximating queuing networknb_NO
dc.language.isoengnb_NO
dc.subjectPerformance evaluationnb_NO
dc.subjectOpen queue networknb_NO
dc.titlePerformance evaluation of single and multi-class production systems using an approximating queuing networknb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber1497-1523nb_NO
dc.source.volume57nb_NO
dc.source.journalInternational Journal of Production Researchnb_NO
dc.source.issue5nb_NO
dc.identifier.doi10.1080/00207543.2018.1492163
dc.identifier.cristin1659367
cristin.unitcode158,13,0,0
cristin.unitnameInstitutt for regnskap, revisjon og foretaksøkonomi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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