Methodical Approaches to Process Capability Analysis in the Cases of Non-Normal Distribution of Monitored Quality Characteristic
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F16%3A86098775" target="_blank" >RIV/61989100:27360/16:86098775 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Methodical Approaches to Process Capability Analysis in the Cases of Non-Normal Distribution of Monitored Quality Characteristic
Popis výsledku v původním jazyce
Evidence of production process capability is one of the basic requirements for automotive industry suppliers including metallurgical companies. From this reason these suppliers must perform process capability analysis. While in the cases of normal distribution of monitored quality characteristic the methodology of process capability analysis is practically uniform, in the cases, when data are not normally distributed, individual producers use different approaches. This fact may cause different results of process capability analysis. This paper deals with analysis of methodical approaches used by selected automotive producers for process capability analysis in the cases of non-normal distributions of monitored quality characteristic. Process capability analysis is performed using selected strategies for data with different skewness. Analysis of different process capability indices is done and achieved results are compared with other possibilities of process capability analysis in the cases of data non-normality.
Název v anglickém jazyce
Methodical Approaches to Process Capability Analysis in the Cases of Non-Normal Distribution of Monitored Quality Characteristic
Popis výsledku anglicky
Evidence of production process capability is one of the basic requirements for automotive industry suppliers including metallurgical companies. From this reason these suppliers must perform process capability analysis. While in the cases of normal distribution of monitored quality characteristic the methodology of process capability analysis is practically uniform, in the cases, when data are not normally distributed, individual producers use different approaches. This fact may cause different results of process capability analysis. This paper deals with analysis of methodical approaches used by selected automotive producers for process capability analysis in the cases of non-normal distributions of monitored quality characteristic. Process capability analysis is performed using selected strategies for data with different skewness. Analysis of different process capability indices is done and achieved results are compared with other possibilities of process capability analysis in the cases of data non-normality.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
JS - Řízení spolehlivosti a kvality, zkušebnictví
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
METAL 2016: conference proceedings : (reviewed version) : 25th Anniversary International Conference on Metallurgy and Materials : May 25th-27th 2016, Hotel Voronez I, Brno, Czech Republic, EU
ISBN
978-80-87294-67-3
ISSN
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e-ISSN
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Počet stran výsledku
6
Strana od-do
1950-1955
Název nakladatele
Tanger
Místo vydání
Ostrava
Místo konání akce
Brno
Datum konání akce
25. 5. 2016
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
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