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dc.contributor.authorKolesnyk, Olha
dc.contributor.authorBubeník, Peter
dc.contributor.authorČapek, Juraj
dc.contributor.editorBureš, Marek
dc.contributor.editorBroum, Tomáš
dc.date.accessioned2021-12-17T08:32:49Z
dc.date.available2021-12-17T08:32:49Z
dc.date.issued2021
dc.identifier.citationPrůmyslové inženýrství 2021: Mezinárodní studentská vědecká konference: 10.-11. listopad 2021, Brno, s. 87-92.cs
dc.identifier.isbn978-80-261-0792-7
dc.identifier.urihttp://hdl.handle.net/11025/46403
dc.description.sponsorshipThis work was supported by the VEGA 1/0248/21 – Research of innovative solutions for segmentation and sustainability of product regarding assembly Operations.en
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherZápadočeská univerzita v Plznics
dc.rights© Západočeská univerzita v Plzni, autořics
dc.subjectmoderní výrobacs
dc.subjectkontrola procesucs
dc.subjectbiomanagementcs
dc.titleProgressive methods for production process controlen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe aim of this paper is to provide an overview of algorithms, calculations, learning that support the latest advances in process control and operations in modern manufacturing. The aim of this review is not only to offer interested readers information on the latest state of control in production methods and applications in production, but also to provide scientists and experts with a vision of where the future is heading.en
dc.subject.translatedmodern manufacturingen
dc.subject.translatedprocess controlen
dc.subject.translatedBio Inspirational Management Methoden
dc.identifier.doihttps://doi.org/10.24132/PI.2021.07927.087-092
dc.type.statusPeer-revieweden
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Průmyslové inženýrství 2021

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