Graphical Tools for Increasing the Effectiveness of Gage Repeatability and Reproducibility Analysis
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F23%3A10251585" target="_blank" >RIV/61989100:27360/23:10251585 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.mdpi.com/2227-9717/11/1/1" target="_blank" >https://www.mdpi.com/2227-9717/11/1/1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/pr11010001" target="_blank" >10.3390/pr11010001</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Graphical Tools for Increasing the Effectiveness of Gage Repeatability and Reproducibility Analysis
Popis výsledku v původním jazyce
The 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. (C) 2022 by the authors.
Název v anglickém jazyce
Graphical Tools for Increasing the Effectiveness of Gage Repeatability and Reproducibility Analysis
Popis výsledku anglicky
The 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. (C) 2022 by the authors.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20306 - Audio engineering, reliability analysis
Návaznosti výsledku
Projekt
<a href="/cs/project/EF17_049%2F0008425" target="_blank" >EF17_049/0008425: Platforma pro výzkum orientovaný na Průmysl 4.0 a robotiku v ostravské aglomeraci</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Processes
ISSN
2227-9717
e-ISSN
2227-9717
Svazek periodika
11
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
16
Strana od-do
1-16
Kód UT WoS článku
000918267500001
EID výsledku v databázi Scopus
2-s2.0-85146776684