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dc.contributor.authorMohammadi, Mehrdad
dc.contributor.authorDauzère-Pérès, Stéphane
dc.contributor.authorYugma, Claude
dc.contributor.authorKarimi‐Mamaghan, Maryam
dc.date.accessioned2021-04-26T08:27:44Z
dc.date.available2021-04-26T08:27:44Z
dc.date.created2020-01-08T12:17:19Z
dc.date.issued2020
dc.identifier.citationComputers & Operations Research. 2020, 115 .en_US
dc.identifier.issn0305-0548
dc.identifier.urihttps://hdl.handle.net/11250/2739477
dc.description.abstractProduction planning optimization remains a major challenge in almost all industries, particularly in high-tech manufacturing. A critical task to support such optimization is performance evaluation, wherein an accurate estimation of the cycle time as a function of the throughput rate plays a key role. This paper develops a novel aggregation model based on a queueing network approach, so-called queue-based aggregation (QAG) model, to estimate the cycle time of a job-shop production system that consists of several processing workstations, and in which products are transferred via an Automated Material Handling System (AMHS). The proposed model aggregates both production and automated material handling systems and provides an accurate and fast estimation of the overall cycle time. The performance and superiority of the proposed model is validated by comparing its results with those of a detailed simulation model. Numerous sensitivity analyses are performed to provide valuable managerial insights on both the production and automated material handling systems.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleA queue‐based aggregation approach for performance evaluation of a production system with an AMHSen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber21en_US
dc.source.volume115en_US
dc.source.journalComputers & Operations Researchen_US
dc.identifier.doi10.1016/j.cor.2019.104838
dc.identifier.cristin1768466
dc.source.articlenumber104838en_US
cristin.unitcode158,13,0,0
cristin.unitnameInstitutt for regnskap, revisjon og foretaksøkonomi
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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