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dc.contributor.authorNovikov, Konstantin
dc.contributor.authorKleinová, Jana
dc.date.accessioned2019-03-26T09:11:17Z-
dc.date.available2019-03-26T09:11:17Z-
dc.date.issued2018
dc.identifier.citationNOVIKOV, K., KLEINOVÁ, J. The Impact of Personnel Costs on the Competitiveness of Automated Manufacturing Systems. In Proceedings of the 29th DAAAM International Symposium. Vienna: DAAAM International, 2018. s. 916-921. ISBN 978-3-902734-20-4 , ISSN 1726-9679.en
dc.identifier.isbn978-3-902734-20-4
dc.identifier.issn1726-9679
dc.identifier.uri2-s2.0-85060079268
dc.identifier.urihttp://hdl.handle.net/11025/33726
dc.format6 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherDAAAM Internationalen
dc.relation.ispartofseriesProceedings of the 29th DAAAM International Symposiumen
dc.rightsPlný text není přístupný.cs
dc.rights© DAAAM Internationalen
dc.titleThe Impact of Personnel Costs on the Competitiveness of Automated Manufacturing Systemsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessclosedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThis article focuses on the competitiveness of industrial companies. It follows up on the Fourth Industrial Revolution, which has dramatically changed the trends in the field of production. Its aim is a cost evaluation of automated manufacturing systems, mainly considering the impact of personnel costs on costs of production. Calculation is performed on a full cost basis. Also, the paper includes a case study, which demonstrates the difference in personnel costs between two identical production units located in different countries. The outcome aims to either prove or disprove the assumption that the personnel costs of automated production systems do not have a significant impact on production costs.en
dc.subject.translatedIndustry 4.0en
dc.subject.translatedautomationen
dc.subject.translatedcostsen
dc.subject.translatedcompetitivenessen
dc.identifier.doi10.2507/29th.daaam.proceedings.132
dc.type.statusPeer-revieweden
dc.identifier.obd43924777
dc.project.IDSGS-2018-031/Optimalizace parametrů udržitelného výrobního systémucs
Appears in Collections:Konferenční příspěvky / Conference papers (KPV)
OBD

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