Parametric and nonparametric methods of statistical process control

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27360%2F16%3A86098794" target="_blank" >RIV/61989100:27360/16:86098794 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.17973/MMSJ.2016_11_2016163" target="_blank" >http://dx.doi.org/10.17973/MMSJ.2016_11_2016163</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17973/MMSJ.2016_11_2016163" target="_blank" >10.17973/MMSJ.2016_11_2016163</a>

Result language

angličtina

Original language name

Parametric and nonparametric methods of statistical process control

Original language description

This paper presents the limitations of classical Shewhart control charts and some possibilities of statistical process control that can be used when the basic assumptions about data have not been fulfilled. These basic assumptions that must be met include mainly a requirement on the normality of the data, the requirement for constant mean and variance, and last but not least the requirement for mutual independence of data. In practice, those assumptions about the data are not necessarily always met. The aim of this article is to introduce the problems (such as normality failure, data dependence) that can occur when applying the classic Shewhart control charts. Additional aim of this article is to describe some non-parametric control charts and concretely introduce one of the non-parametric control charts, namely Shewhart sign control chart, including a practical example from a metallurgical process. During preparation of this article accessible pieces of knowledge on the issue were compared. Comparing the parametric and nonparametric methods it was found that nonparametric methods have many advantages and for cases where some of the basic assumptions about the data are not met they are appropriate.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

JS - Reliability and quality management, industrial testing

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2016

Confidentiality

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

Name of the periodical

MM Science Journal

ISSN

1803-1269

e-ISSN

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Volume of the periodical

Neuveden

Issue of the periodical within the volume

Listopad 2016

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

8

Pages from-to

1465-1472

UT code for WoS article

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EID of the result in the Scopus database

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