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Subject Item
n2:RIV%2F61989100%3A27360%2F13%3A86088068%21RIV14-MSM-27360___
rdf:type
skos:Concept n10:Vysledek
dcterms:description
The success of companies at the market is for several decades depended on the quality of the provided products and services. This quality cannot be achieved without functioning quality management system. ISO/TS 16949 standard, which includes the requirements for quality management system in the automotive industry whose suppliers are mostly metallurgical companies in Chapter 7.6.1 requires, that statistical studies must be performed in order to analyze the variability of all types of measurement and testing systems. The acceptability of the measurement system is currently assessed on the results of combined gage repeatability and reproducibility study (GRR). The most used methods for evaluation of GRR study are average and range method (A&R) and analysis of variance (ANOVA). The results of GRR analysis can be considerably influenced by interactions between parts and appraisers. Less used ANOVA which requires using of special software and its numerical results are difficult to interpret, is able to evaluate these interactions. More used A&R method, which use is much simpler, is not capable to evaluate these interactions. The occurrence of interactions can significantly affect the results of gage repeatability and reproducibility study and therefore also acceptability of the measurement system. For this reason it is necessary the influence of these interactions correctly evaluate and recognize. The aim of this paper is to analyze the possibility of identification of these interactions using appropriate graphical tools of measurement system analysis. It will be also analyzed the ability of these graphical tools to reveal not only existence, but also the location of these interactions. The success of companies at the market is for several decades depended on the quality of the provided products and services. This quality cannot be achieved without functioning quality management system. ISO/TS 16949 standard, which includes the requirements for quality management system in the automotive industry whose suppliers are mostly metallurgical companies in Chapter 7.6.1 requires, that statistical studies must be performed in order to analyze the variability of all types of measurement and testing systems. The acceptability of the measurement system is currently assessed on the results of combined gage repeatability and reproducibility study (GRR). The most used methods for evaluation of GRR study are average and range method (A&R) and analysis of variance (ANOVA). The results of GRR analysis can be considerably influenced by interactions between parts and appraisers. Less used ANOVA which requires using of special software and its numerical results are difficult to interpret, is able to evaluate these interactions. More used A&R method, which use is much simpler, is not capable to evaluate these interactions. The occurrence of interactions can significantly affect the results of gage repeatability and reproducibility study and therefore also acceptability of the measurement system. For this reason it is necessary the influence of these interactions correctly evaluate and recognize. The aim of this paper is to analyze the possibility of identification of these interactions using appropriate graphical tools of measurement system analysis. It will be also analyzed the ability of these graphical tools to reveal not only existence, but also the location of these interactions.
dcterms:title
Possibilities of Detection of Interactions Between Parts and Appraisers in the Gage Repeatability and Reproducibility Study Using Graphical Tools Possibilities of Detection of Interactions Between Parts and Appraisers in the Gage Repeatability and Reproducibility Study Using Graphical Tools
skos:prefLabel
Possibilities of Detection of Interactions Between Parts and Appraisers in the Gage Repeatability and Reproducibility Study Using Graphical Tools Possibilities of Detection of Interactions Between Parts and Appraisers in the Gage Repeatability and Reproducibility Study Using Graphical Tools
skos:notation
RIV/61989100:27360/13:86088068!RIV14-MSM-27360___
n10:predkladatel
n11:orjk%3A27360
n3:aktivita
n19:S
n3:aktivity
S
n3:dodaniDat
n9:2014
n3:domaciTvurceVysledku
n7:3752518 n7:4900391
n3:druhVysledku
n14:D
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
97558
n3:idVysledku
RIV/61989100:27360/13:86088068
n3:jazykVysledku
n16:eng
n3:klicovaSlova
Measurement system, repeatability, reproducibility, interaction, ANOVA, graphical tools
n3:klicoveSlovo
n4:Measurement%20system n4:graphical%20tools n4:repeatability n4:ANOVA n4:interaction n4:reproducibility
n3:kontrolniKodProRIV
[3D230CA307D7]
n3:mistoKonaniAkce
Brno
n3:mistoVydani
Ostrava
n3:nazevZdroje
METAL 2013 : 22nd International Conference on Metallurgy and Materials : conference proceedings : May 15th - 17th 2013, Hotel Voronez I, Brno Czech Republic, EU [CD-ROM]
n3:obor
n17:JS
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n9:2013
n3:tvurceVysledku
Plura, Jiří Klaput, Pavel
n3:typAkce
n18:WRD
n3:zahajeniAkce
2013-05-15+02:00
s:numberOfPages
6
n15:hasPublisher
Tanger s.r.o.
n21:isbn
978-80-87294-41-3
n8:organizacniJednotka
27360