Process capability indices for non-normal data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F14%3A43871797" target="_blank" >RIV/70883521:28120/14:43871797 - 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

Process capability indices for non-normal data

Popis výsledku v původním jazyce

When probability distribution of a process characteristic is non-normal, Cp and Cpk indices calculated using conventional methods often lead to erroneous interpretation of process capability. Various methods have been proposed for surrogate process capability indices (PCIs) under non-normality but few literature sources offer their comprehensive evaluation and comparison, in particular whether they adequately capture process capability under mild and severe departures from normality, and what is the best method to compute true capability under each of these circumstances. We overview 9 methods as to their performance when handling PCI non-normality. The comparison is carried out by simulating log-normal and data and the results presented using box plots. We show performance to be dependent on the ability to capture tail behavior of the underlying distribution.

Název v anglickém jazyce

Process capability indices for non-normal data

Popis výsledku anglicky

When probability distribution of a process characteristic is non-normal, Cp and Cpk indices calculated using conventional methods often lead to erroneous interpretation of process capability. Various methods have been proposed for surrogate process capability indices (PCIs) under non-normality but few literature sources offer their comprehensive evaluation and comparison, in particular whether they adequately capture process capability under mild and severe departures from normality, and what is the best method to compute true capability under each of these circumstances. We overview 9 methods as to their performance when handling PCI non-normality. The comparison is carried out by simulating log-normal and data and the results presented using box plots. We show performance to be dependent on the ability to capture tail behavior of the underlying distribution.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

WSEAS Transactions on Business and Economics

ISSN

1109-9526

e-ISSN

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Svazek periodika

11

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GR - Řecká republika

Počet stran výsledku

11

Strana od-do

419-429

Kód UT WoS článku

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EID výsledku v databázi Scopus

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