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dc.contributor.authorPlura, Jiří
dc.contributor.authorVykydal, David
dc.contributor.authorTošenovský, Filip
dc.contributor.authorKlaput, Pavel
dc.date.accessioned2023-11-07T14:29:29Z
dc.date.available2023-11-07T14:29:29Z
dc.date.issued2023
dc.identifier.citationProcesses. 2023, vol. 11, issue 1, art. no. 1.cs
dc.identifier.issn2227-9717
dc.identifier.urihttp://hdl.handle.net/10084/151476
dc.description.abstractThe article deals with the quality of measured data, which is necessary for effective quality management and successful implementation of the concept Industry 4.0 and the related concept Quality 4.0. The quality of the measured data is determined by the properties of the used measurement system, which are evaluated by measurement system analysis (MSA). Attention is paid to increasing the effectiveness of the repeatability and reproducibility analysis often used in practice. The importance of graphical tools of analysis, which are often neglected in practice, is emphasized in this regard, and new or modified graphical tools are proposed. The proposed graphical tools allow more detailed analysis of the data collected for the study and reveal the causes of the measurement system variability. The information obtained by applying these graphical tools is a valuable basis for proposals of appropriate actions to improve the measurement system. The use of the proposed graphical tools is presented in a real study of the repeatability and reproducibility of the measurement system.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesProcessescs
dc.relation.urihttps://doi.org/10.3390/pr11010001cs
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectmeasurement system analysiscs
dc.subjectrepeatabilitycs
dc.subjectreproducibilitycs
dc.subjectgraphical toolscs
dc.subjectquality managementcs
dc.titleGraphical tools for increasing the effectiveness of gage repeatability and reproducibility analysiscs
dc.typearticlecs
dc.identifier.doi10.3390/pr11010001
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume11cs
dc.description.issue1cs
dc.description.firstpageart. no. 1cs
dc.identifier.wos000918267500001


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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Except where otherwise noted, this item's license is described as © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.