A model-based approach for attribute gauge analysis

Emese Vágó, S. Kemény

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

A new method is proposed for the attribute gauge study. A mathematical model based on the Gauge Performance Curve (GPC) is introduced and the connection between the model parameters and gauge characteristics is discussed. The ability of the whole measurement system (the process and the gauge together) is characterized by two key probabilities: the probability of a rejected part being good and the probability of an accepted part being bad. These probabilities can be calculated either with the proposed mathematical model of GPC (GPC-method) or by using relative frequencies (AIAG-type method). The performance of the two approaches has been compared, and the proposed GPC-method is proven to be statistically favourable.

Original languageEnglish
Pages (from-to)753-769
Number of pages17
JournalQuality and Reliability Engineering International
Volume27
Issue number6
DOIs
Publication statusPublished - Oct 2011

Fingerprint

Gages
Mathematical models
Mathematical model

Keywords

  • attribute gauge
  • logit
  • measurement system analysis
  • repeatability
  • reproducibility

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research

Cite this

A model-based approach for attribute gauge analysis. / Vágó, Emese; Kemény, S.

In: Quality and Reliability Engineering International, Vol. 27, No. 6, 10.2011, p. 753-769.

Research output: Contribution to journalArticle

@article{76f995b6c6d6492da16effa074499c8f,
title = "A model-based approach for attribute gauge analysis",
abstract = "A new method is proposed for the attribute gauge study. A mathematical model based on the Gauge Performance Curve (GPC) is introduced and the connection between the model parameters and gauge characteristics is discussed. The ability of the whole measurement system (the process and the gauge together) is characterized by two key probabilities: the probability of a rejected part being good and the probability of an accepted part being bad. These probabilities can be calculated either with the proposed mathematical model of GPC (GPC-method) or by using relative frequencies (AIAG-type method). The performance of the two approaches has been compared, and the proposed GPC-method is proven to be statistically favourable.",
keywords = "attribute gauge, logit, measurement system analysis, repeatability, reproducibility",
author = "Emese V{\'a}g{\'o} and S. Kem{\'e}ny",
year = "2011",
month = "10",
doi = "10.1002/qre.1154",
language = "English",
volume = "27",
pages = "753--769",
journal = "Quality and Reliability Engineering International",
issn = "0748-8017",
publisher = "John Wiley and Sons Ltd",
number = "6",

}

TY - JOUR

T1 - A model-based approach for attribute gauge analysis

AU - Vágó, Emese

AU - Kemény, S.

PY - 2011/10

Y1 - 2011/10

N2 - A new method is proposed for the attribute gauge study. A mathematical model based on the Gauge Performance Curve (GPC) is introduced and the connection between the model parameters and gauge characteristics is discussed. The ability of the whole measurement system (the process and the gauge together) is characterized by two key probabilities: the probability of a rejected part being good and the probability of an accepted part being bad. These probabilities can be calculated either with the proposed mathematical model of GPC (GPC-method) or by using relative frequencies (AIAG-type method). The performance of the two approaches has been compared, and the proposed GPC-method is proven to be statistically favourable.

AB - A new method is proposed for the attribute gauge study. A mathematical model based on the Gauge Performance Curve (GPC) is introduced and the connection between the model parameters and gauge characteristics is discussed. The ability of the whole measurement system (the process and the gauge together) is characterized by two key probabilities: the probability of a rejected part being good and the probability of an accepted part being bad. These probabilities can be calculated either with the proposed mathematical model of GPC (GPC-method) or by using relative frequencies (AIAG-type method). The performance of the two approaches has been compared, and the proposed GPC-method is proven to be statistically favourable.

KW - attribute gauge

KW - logit

KW - measurement system analysis

KW - repeatability

KW - reproducibility

UR - http://www.scopus.com/inward/record.url?scp=79960682411&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79960682411&partnerID=8YFLogxK

U2 - 10.1002/qre.1154

DO - 10.1002/qre.1154

M3 - Article

VL - 27

SP - 753

EP - 769

JO - Quality and Reliability Engineering International

JF - Quality and Reliability Engineering International

SN - 0748-8017

IS - 6

ER -