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Graphical Tools for Increasing the Effectiveness of Gage Repeatability and Reproducibility Analysis

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Graphical Tools for Increasing the Effectiveness of Gage Repeatability and Reproducibility Analysis

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20306 - Audio engineering, reliability analysis

Result continuities

  • Project

    <a href="/en/project/EF17_049%2F0008425" target="_blank" >EF17_049/0008425: A Research Platform focused on Industry 4.0 and Robotics in Ostrava Agglomeration</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Processes

  • ISSN

    2227-9717

  • e-ISSN

    2227-9717

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    16

  • Pages from-to

    1-16

  • UT code for WoS article

    000918267500001

  • EID of the result in the Scopus database

    2-s2.0-85146776684