The performance of control charts in the presence of assignable causes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50015787" target="_blank" >RIV/62690094:18450/19:50015787 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.ijrte.org/wp-content/uploads/papers/v7i6/F2401037619.pdf" target="_blank" >https://www.ijrte.org/wp-content/uploads/papers/v7i6/F2401037619.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The performance of control charts in the presence of assignable causes

Popis výsledku v původním jazyce

The main objective of control charts is to evaluate the quality of a production process. A process is stable or in-control when the variability of the production process is only produced by common causes. However, it is said that the process is out-of-control if its variability is produced by assignable causes. An advantage of control charts is the detection and identification of assignable causes within the production process. The aim of this article is to analyse the performance of control charts under simulated (therefore known) changing conditions. Monte Carlo simulation studies are carried out to analyze the empirical performance of control charts under different scenarios. In particular, we first consider that the processes have a correct operation. Second, we consider processes that operate with quality characteristics that do not satisfy the required assumptions, and this issue may have an impact on the proportion of non-conforming articles. Third, we consider processes that suffer from a change on the performance of the production volume. The proposed studies allow to estimate an impact of the analyzed scenarios on the performance of control charts.

Název v anglickém jazyce

The performance of control charts in the presence of assignable causes

Popis výsledku anglicky

The main objective of control charts is to evaluate the quality of a production process. A process is stable or in-control when the variability of the production process is only produced by common causes. However, it is said that the process is out-of-control if its variability is produced by assignable causes. An advantage of control charts is the detection and identification of assignable causes within the production process. The aim of this article is to analyse the performance of control charts under simulated (therefore known) changing conditions. Monte Carlo simulation studies are carried out to analyze the empirical performance of control charts under different scenarios. In particular, we first consider that the processes have a correct operation. Second, we consider processes that operate with quality characteristics that do not satisfy the required assumptions, and this issue may have an impact on the proportion of non-conforming articles. Third, we consider processes that suffer from a change on the performance of the production volume. The proposed studies allow to estimate an impact of the analyzed scenarios on the performance of control charts.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

10103 - Statistics and probability

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

International Journal of Recent Technology and Engineering

ISSN

2277-3878

e-ISSN

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Svazek periodika

7

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

IN - Indická republika

Počet stran výsledku

6

Strana od-do

458-463

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-85066984604