Nonparametric Statistical Process Control

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F17%3A10237950" target="_blank" >RIV/61989100:27360/17:10237950 - 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

Nonparametric Statistical Process Control

Popis výsledku v původním jazyce

Control chart is the basic tool of the statistical process control (SPC). The SPC is an integral part of the production management necessary for achieving a high product quality. Just the quality of the product decides the customer satisfaction and thus the success of the whole organization. Classical Shewhart control charts can be used only if there are met certain basic assumptions. These assumptions include data normality, independence and constant mean and variance. In practice, those assumptions about the data are not always met. In the case that these conditions are not met, there may be used non-parametric and robust control charts. This article aims to define the difference between robust and non-parametric methods. Other aim of this article is to define the various deviations from normality that cause problems in the use of classical parametric methods of statistical process control. At the end of this article, selected non-parametric control charts are presented on a specific case.

Název v anglickém jazyce

Nonparametric Statistical Process Control

Popis výsledku anglicky

Control chart is the basic tool of the statistical process control (SPC). The SPC is an integral part of the production management necessary for achieving a high product quality. Just the quality of the product decides the customer satisfaction and thus the success of the whole organization. Classical Shewhart control charts can be used only if there are met certain basic assumptions. These assumptions include data normality, independence and constant mean and variance. In practice, those assumptions about the data are not always met. In the case that these conditions are not met, there may be used non-parametric and robust control charts. This article aims to define the difference between robust and non-parametric methods. Other aim of this article is to define the various deviations from normality that cause problems in the use of classical parametric methods of statistical process control. At the end of this article, selected non-parametric control charts are presented on a specific case.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50204 - Business and management

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

Management and economics in manufacturing : proceedings of the 10th global scientific conference : October 5-6, 2017, Zvolen, Slovak Republic

ISBN

978-80-228-2993-9

ISSN

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e-ISSN

neuvedeno

Počet stran výsledku

7

Strana od-do

252-258

Název nakladatele

Publishing House of the Technical University in Zvolen

Místo vydání

Zvolen

Místo konání akce

Zvolen

Datum konání akce

5. 10. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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