Selected Aspects of Modelling in the Metallurgical Industry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F18%3A10241566" target="_blank" >RIV/61989100:27360/18:10241566 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Selected Aspects of Modelling in the Metallurgical Industry

Popis výsledku v původním jazyce

The paper presents the basics of the measurement system analysis (MSA), whose important task is to improve the quality of products in organizations, and its current or future use. Low data quality leads to small, respectively. benefit. Conversely, high quality data can be of great benefit to the overall process or final customer. In order to ensure sufficient benefit from the use of the measured data, and thus reduce the cost of obtaining the measured data, it is necessary to focus on the quality of the data. The quality of the measured data can be evaluated on the basis of multiple measurements obtained from measurement systems operating under stable conditions. One of the most common reasons for low-quality data is their too large variability. Therefore, the purpose of MSA is to determine the extent of observed variability caused by the measurement system and to identify sources of variability in this system.

Název v anglickém jazyce

Selected Aspects of Modelling in the Metallurgical Industry

Popis výsledku anglicky

The paper presents the basics of the measurement system analysis (MSA), whose important task is to improve the quality of products in organizations, and its current or future use. Low data quality leads to small, respectively. benefit. Conversely, high quality data can be of great benefit to the overall process or final customer. In order to ensure sufficient benefit from the use of the measured data, and thus reduce the cost of obtaining the measured data, it is necessary to focus on the quality of the data. The quality of the measured data can be evaluated on the basis of multiple measurements obtained from measurement systems operating under stable conditions. One of the most common reasons for low-quality data is their too large variability. Therefore, the purpose of MSA is to determine the extent of observed variability caused by the measurement system and to identify sources of variability in this system.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Hutnické listy

ISSN

0018-8069

e-ISSN

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Svazek periodika

LXXI

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

4

Strana od-do

3-6

Kód UT WoS článku

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EID výsledku v databázi Scopus

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