The use of D-optimal design in an expanded gauge R&R study

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F21%3A00038812" target="_blank" >RIV/29142890:_____/21:00038812 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.tandfonline.com/eprint/PQ9JPT94Z47VSIP8BDDC/full?target=10.1080/08982112.2020.1745233" target="_blank" >https://www.tandfonline.com/eprint/PQ9JPT94Z47VSIP8BDDC/full?target=10.1080/08982112.2020.1745233</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/08982112.2020.1745233" target="_blank" >10.1080/08982112.2020.1745233</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The use of D-optimal design in an expanded gauge R&R study

Popis výsledku v původním jazyce

This article evaluates the repeatability and reproducibility of a measurement system with crossed and nested factors. The number of measurements is reduced so that not all measurements are replicated as is usual in R&R experiments. D-optimal design is employed to allocate replicated treatments, and the effect of the reduction is investigated through computer simulation. The analysis is based on a random effects model and the variance components are estimated by the ANOVA method. Recommendations are provided for selecting the number of replicated treatments so that the impact on the precision of estimating the %GRR metric is sufficiently small.

Název v anglickém jazyce

The use of D-optimal design in an expanded gauge R&R study

Popis výsledku anglicky

This article evaluates the repeatability and reproducibility of a measurement system with crossed and nested factors. The number of measurements is reduced so that not all measurements are replicated as is usual in R&R experiments. D-optimal design is employed to allocate replicated treatments, and the effect of the reduction is investigated through computer simulation. The analysis is based on a random effects model and the variance components are estimated by the ANOVA method. Recommendations are provided for selecting the number of replicated treatments so that the impact on the precision of estimating the %GRR metric is sufficiently small.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

21100 - Other engineering and technologies

Projekt

—

Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Quality Engineering

ISSN

1532-4222

e-ISSN

—

Svazek periodika

33

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

34-42

Kód UT WoS článku

000542884100001

EID výsledku v databázi Scopus

2-s2.0-85086853834