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DC poleHodnotaJazyk
dc.contributor.authorTrebuna, Peter
dc.contributor.authorPekarčíková, Miriam
dc.contributor.authorEdl, Milan
dc.date.accessioned2019-09-02T10:00:16Z-
dc.date.available2019-09-02T10:00:16Z-
dc.date.issued2019
dc.identifier.citationTREBUNA, P., PEKARČÍKOVÁ, M., EDL, M. Digital value stream mapping using the tecnomatix plant simulation software. International Journal of Simulation Modelling, 2019, roč. 18, č. 1, s. 19-32. ISSN 1726-4529.en
dc.identifier.issn1726-4529
dc.identifier.uri2-s2.0-85067953580
dc.identifier.urihttp://hdl.handle.net/11025/34934
dc.format14 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherDAAAMen
dc.rights© DAAAM Inernational Viennaen
dc.titleDigital value stream mapping using the tecnomatix plant simulation softwareen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedValue Stream Mapping is a common and widely used method of industrial engineering. It creates a comprehensive overview of the possibilities of improving the production flow of the company as a whole and eliminates the introduction of incremental measures that would reduce the flexibility of the system as a whole. This article presents a method for optimizing material and information flows in a production company in the context of the Industry 4.0. The aim of the article is to emphasize the potential of software tools in synergy with the classical tool of lean manufacturing-Value Stream Mapping (VSM). For this purpose, the case study is focused on digital VSM in environment of the simulation software TX Plant Simulation. The transformation of the classical digital approach allows dynamic evaluations based on real discrete simulation of events and a simple evaluation of optimized variants. © 2019 DAAAM International Vienna. All rights reserved.en
dc.subject.translatedDiscrete event simulationen
dc.subject.translatedSimulation softwareen
dc.subject.translatedValue addeden
dc.subject.translatedValue stream mappingen
dc.identifier.doi10.2507/IJSIMM18(1)455
dc.type.statusPeer-revieweden
dc.identifier.obd43926554
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