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dc.contributor.authorShakirov, Eldar
dc.contributor.authorGee, Kaitlyn
dc.contributor.authorQuinlan, Haden
dc.contributor.authorHart, A John
dc.contributor.authorFortin, Clement
dc.contributor.authorUzhinsky, Ighor
dc.date.accessioned2021-12-22T16:18:36Z
dc.date.available2021-12-22T16:18:36Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/138766
dc.description.abstractCopyright © 2020 ASME Additive Manufacturing (AM) - one of several core digital technologies in “Industry 4.0” - is increasingly being deployed in industrial-scale contexts. The successful serial production of end-use polymer and metal components has demonstrated the possibility of AM as a primary production process in several applications. However, one of the principal challenges to greater adoption is a lack of organizational mastery over AM's implementation in production contexts, and, more specifically, the absence of clear decision-making tools to facilitate exploration of implementation scenarios. To this end, this work proposes the use of a discrete-event simulation-based software modelling tool to investigate the influences of different facility-level planning decisions on techno-economic characteristics of serial production by AM. By changing key parameters, this tool enables users to observe variation in part cost, identify the contributions of individual system elements to part cost, and assess overall system throughput. The tool enables users to identify locally optimal solutions and make corresponding planning decisions, and to explore limiting cases of cost and lead time. In conclusion, we identify the limitations in the current modeling approach, and propose additional directions for future study.en_US
dc.language.isoen
dc.publisherASME Internationalen_US
dc.relation.isversionof10.1115/MSEC2020-8308en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceASMEen_US
dc.titleSimulating the AM Production Facility: A Configurable Software Tool for Strategic Facility-Level Planningen_US
dc.typeArticleen_US
dc.identifier.citationShakirov, Eldar, Gee, Kaitlyn, Quinlan, Haden, Hart, A John, Fortin, Clement et al. 2020. "Simulating the AM Production Facility: A Configurable Software Tool for Strategic Facility-Level Planning." ASME 2020 15th International Manufacturing Science and Engineering Conference, MSEC 2020, 2.
dc.relation.journalASME 2020 15th International Manufacturing Science and Engineering Conference, MSEC 2020en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2021-12-22T15:55:12Z
dspace.orderedauthorsShakirov, E; Gee, K; Quinlan, H; Hart, AJ; Fortin, C; Uzhinsky, Ien_US
dspace.date.submission2021-12-22T15:55:14Z
mit.journal.volume2en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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