A Review of Methods for Measurement Systems Capability Analysis

Burdick, Richard K.; Borror, Connie M.; Montgomery, Douglas C.

doi:10.1080/00224065.2003.11980232

Cited by 202 publications

(142 citation statements)

References 30 publications

Supporting

Mentioning

127

Contrasting

Unclassified

Order By: Relevance

“…Repeatability (equipment variation) is the variation due to the measurement instrument or gauge when it is used to measure the same part, repeatedly or several times, with the same operator or set-up or in the same time period [8]. In other words, it is the variation observed with one measurement device when used several times by one operator while measuring the identical characteristic on the same part.…”

Section: Gauge Repeatability and Reproducibility (Gauge Randr Studies)mentioning

confidence: 99%

“…To estimate repeatability, each operator measures each part at least twice. Reproducibility (appraised variation) is the variation arising from different operators, set-ups, or time periods [8]. In other words, it is the variation obtained from different operators using the same measurement device when measuring the identical characteristic on the same part.…”

Section: Gauge Repeatability and Reproducibility (Gauge Randr Studies)mentioning

confidence: 99%

“…Additionally, it allows obtaining efficient point estimation as well as confidence interval estimation of the variance components associated with the sources of variability in the experiments and it is fairly easy to understand the properties of these confidence intervals. On the other hand, the tabular approach cannot be applied to any study other than the traditional two-factor design, and it does not allow obtaining confidence intervals [8]. For more details about the comparisons of ANOVA approach and Tabular Algorithm, interested readers are referred to [9].…”

Section: Gauge Repeatability and Reproducibility (Gauge Randr Studies)mentioning

confidence: 99%

“…A set of procedures, often referred to as Measurement Systems Capability Studies, are widely used to assess the adequacy and quality of measurement systems. The purposes of measurement systems capability studies are to assess capability of a gauge, to isolate sources of variability in the system and to evaluate how much of the total observed variability is due to the gauge [8].…”

Section: Measurement Systems Capability Studiesmentioning

confidence: 99%

“…This indicates for an adequate gauge capability [7]. For more details on the measurement capability metrics, interested readers are referred to [1,8,10]. It has to be taken into account that none of these metrics really describe gauge or measurement system capability in any sense that is directly interpretable.…”

Section: Discrimination Ratio (Dr)mentioning

confidence: 99%

See 4 more Smart Citations

An overview of capability evaluation of Measurement Systems and Gauge Repeatability and Reproducibility Studies

Şenvar

Fırat

2010

Int. J. Metrol. Qual. Eng.

View full text Add to dashboard Cite

Abstract. This study is an overview of the capability evaluation of measurement systems. Principally, the determination of capability of a measurement system is an important aspect of quality and process improvement initiatives. In practice, various methods are developed and used for determining measurement system capability. As a measurement tool, potential effectiveness of gauge should be considered and significant factors should be identified for that purpose. A set of procedures referred to as Measurement Systems Capability Studies are conducted for assessing capability of gauge, isolating sources of variability in the system, evaluating how much of total observed variability is due to gauge, and investigating two components of measurement error: repeatability and reproducibility of gauge. Gauge Repeatability & Reproducibility (Gauge R&R) Study tries to estimate repeatability and reproducibility components of measurement system variation with primary objective of assessing whether gauge is suitable for intended application or not. Measurement System Analysis (MSA) is a collection of statistical methods, which includes Gauge R&R Study, for analysis of measurement system capability. In this study, detailed literature review of MSA, Gauge R&R and Measurement Systems Capability Studies, and general discussion of misclassification probabilities that give useful, reliable information about measurement systems performance would be provided.

show abstract

Section: Gauge Repeatability and Reproducibility (Gauge Randr Studies)mentioning

confidence: 99%

Section: Gauge Repeatability and Reproducibility (Gauge Randr Studies)mentioning

confidence: 99%

Section: Gauge Repeatability and Reproducibility (Gauge Randr Studies)mentioning

confidence: 99%

Section: Measurement Systems Capability Studiesmentioning

confidence: 99%

Section: Discrimination Ratio (Dr)mentioning

confidence: 99%

See 3 more Smart Citations

An overview of capability evaluation of Measurement Systems and Gauge Repeatability and Reproducibility Studies

Şenvar

Fırat

2010

Int. J. Metrol. Qual. Eng.

View full text Add to dashboard Cite

show abstract

Process Capability, Error in Estimation of

Pearn¹,

Wu²

2007

Encyclopedia of Statistics in Quality and Reliability

View full text Add to dashboard Cite

Process capability indices (PCIs) are widely used to provide numerical measures of process performance, which have received considerable research attention and increased usage in process assessments and purchasing decisions during the last decade. A substantial majority of capability research works that appeared in the literature do not take into account gauge measurement errors. However, the gauge measurement errors have a significant effect on estimating and assessing process capability since measurement systems are not 100% precise. An inaccurate measurement system can thwart all the benefits of improvement endeavors resulting in poor quality. Analyzing process capability without considering gauge capability may often lead to unreliable decisions. It could result in a serious loss to producers if gauge capability is not being considered in process capability estimation and testing. Since measurement errors unfortunately cannot be avoided, using appropriate confidence coefficients and power becomes an essential task. In this article, we summarize the issue on estimating and testing the process capability is the presence of measurement errors, provide a numerical example discussing the influence of measurement errors, and cite additional references for more discussions on gauge repeatability and reproducibility (GR&R) studies.

show abstract

Measurement Systems Analysis, Overview

Michelson¹

2007

Encyclopedia of Statistics in Quality and Reliability

View full text Add to dashboard Cite

Measurement systems analysis is a way to quantify the variability of a metrology process. The fundamental technique is the gauge repeatability and reproducibility (GR&R) study, which yields an estimate of . The estimate is then used to determine whether or not the metrology system is capable of measuring the process under study. The stability of the measurement system is also determined.

show abstract

A Review of Methods for Measurement Systems Capability Analysis

Cited by 202 publications

References 30 publications

An overview of capability evaluation of Measurement Systems and Gauge Repeatability and Reproducibility Studies

An overview of capability evaluation of Measurement Systems and Gauge Repeatability and Reproducibility Studies

Process Capability, Error in Estimation of

Measurement Systems Analysis, Overview

Contact Info

Product

Resources

About