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dc.contributor.author Alavian, Pooya -
dc.contributor.author Eun, Yongsoon -
dc.contributor.author Meerkov, Semyon M. -
dc.contributor.author Zhang, Liang -
dc.date.accessioned 2019-05-16T02:04:06Z -
dc.date.available 2019-05-16T02:04:06Z -
dc.date.created 2019-05-09 -
dc.date.issued 2020-02 -
dc.identifier.citation International Journal of Production Research, v.58, no.3, pp.828 - 845 -
dc.identifier.issn 0020-7543 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/9833 -
dc.description.abstract Smart production systems (SPS) are manufacturing systems capable of autonomously diagnosing their health and autonomously designing continuous improvement projects, leading to the desired productivity improvement. The main component of SPS, developed in this paper, is the Programmable Manufacturing Advisor (PMA), which evaluates the system's health and calculates optimal steps for continuous improvement. The analytics of PMA are based on the theory of Production Systems Engineering (PSE); the numerics of PMA are based on PSE Toolbox, which implements the PSE methods. In this paper, the PMA-based SPS architecture with manager-in-the-loop is described, theoretical/analytical foundations of PMA are outlined, its software/hardware implementations are commented upon, and demonstrations of PMA-based SPS operation are provided using two production systems: automotive underbody assembly (large volume manufacturing) and hot-dip galvanisation plant (small manufacturing organisation). © 2019 Informa UK Limited, trading as Taylor & Francis Group. -
dc.language English -
dc.publisher Taylor & Francis -
dc.title Smart production systems: automating decision-making in manufacturing environment -
dc.type Article -
dc.identifier.doi 10.1080/00207543.2019.1600765 -
dc.identifier.wosid 000466063200001 -
dc.identifier.scopusid 2-s2.0-85064560087 -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.description.journalClass 1 -
dc.citation.publicationname International Journal of Production Research -
dc.contributor.nonIdAuthor Alavian, Pooya -
dc.contributor.nonIdAuthor Meerkov, Semyon M. -
dc.contributor.nonIdAuthor Zhang, Liang -
dc.identifier.citationVolume 58 -
dc.identifier.citationNumber 3 -
dc.identifier.citationStartPage 828 -
dc.identifier.citationEndPage 845 -
dc.identifier.citationTitle International Journal of Production Research -
dc.type.journalArticle Article -
dc.description.isOpenAccess N -
dc.subject.keywordAuthor production systems -
dc.subject.keywordAuthor smart manufacturing -
dc.subject.keywordAuthor industry 4 -
dc.subject.keywordAuthor 0 -
dc.subject.keywordAuthor continuous improvement -
dc.subject.keywordAuthor automation of decision-making -
dc.subject.keywordPlus LINES -
dc.contributor.affiliatedAuthor Alavian, Pooya -
dc.contributor.affiliatedAuthor Eun, Yongsoon -
dc.contributor.affiliatedAuthor Meerkov, Semyon M. -
dc.contributor.affiliatedAuthor Zhang, Liang -
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Department of Electrical Engineering and Computer Science DSC Lab(Dynamic Systems and Control Laboratory) 1. Journal Articles

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