Leveraged Gauge R&R Studies.
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| Title: | Leveraged Gauge R&R Studies. |
|---|---|
| Authors: | Browne, Ryan1 rpbrowne@gmail.com, MacKay, Jock1, Steiner, Stefan1 |
| Source: | Technometrics. Aug2010, Vol. 52 Issue 3, p294-302. 9p. |
| Subjects: | Aims & objectives of measurement, Industrial management -- Statistical methods, Labor process, Analysis of variance, Confidence intervals |
| Abstract: | To assess measurement system variation, we propose an alternative to the standard gauge reproducibility and repeatability (GR&R) study. The new plan, called a leveraged GR&R Study, is conducted in two stages. In the baseline stage, we select a sample of parts that are measured once only each using a fixed number of operators. Then we deliberately select extreme parts for the second stage where each operator measures each selected part a number of times. We demonstrate the advantages of the leveraged over the standard plan by comparing the standard deviations of the estimators of the parameters of interest. For a fixed number of operators and total number of measurements, we recommend leveraged plans with a baseline size that is roughly half the total number of measurements. We also recommend that the number of parts selected for the second stage be set to an integer multiple of the number of operators and that each of these parts be measured two or three times by each operator. This article has supplementary material online. [ABSTRACT FROM AUTHOR] |
| Copyright of Technometrics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 52680799 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Leveraged Gauge R&R Studies. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Browne%2C+Ryan%22">Browne, Ryan</searchLink><relatesTo>1</relatesTo><i> rpbrowne@gmail.com</i><br /><searchLink fieldCode="AR" term="%22MacKay%2C+Jock%22">MacKay, Jock</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Steiner%2C+Stefan%22">Steiner, Stefan</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Technometrics%22">Technometrics</searchLink>. Aug2010, Vol. 52 Issue 3, p294-302. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Aims+%26+objectives+of+measurement%22">Aims & objectives of measurement</searchLink><br /><searchLink fieldCode="DE" term="%22Industrial+management+--+Statistical+methods%22">Industrial management -- Statistical methods</searchLink><br /><searchLink fieldCode="DE" term="%22Labor+process%22">Labor process</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+variance%22">Analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: To assess measurement system variation, we propose an alternative to the standard gauge reproducibility and repeatability (GR&R) study. The new plan, called a leveraged GR&R Study, is conducted in two stages. In the baseline stage, we select a sample of parts that are measured once only each using a fixed number of operators. Then we deliberately select extreme parts for the second stage where each operator measures each selected part a number of times. We demonstrate the advantages of the leveraged over the standard plan by comparing the standard deviations of the estimators of the parameters of interest. For a fixed number of operators and total number of measurements, we recommend leveraged plans with a baseline size that is roughly half the total number of measurements. We also recommend that the number of parts selected for the second stage be set to an integer multiple of the number of operators and that each of these parts be measured two or three times by each operator. This article has supplementary material online. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Technometrics is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1198/TECH.2010.09037 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 294 Subjects: – SubjectFull: Aims & objectives of measurement Type: general – SubjectFull: Industrial management -- Statistical methods Type: general – SubjectFull: Labor process Type: general – SubjectFull: Analysis of variance Type: general – SubjectFull: Confidence intervals Type: general Titles: – TitleFull: Leveraged Gauge R&R Studies. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Browne, Ryan – PersonEntity: Name: NameFull: MacKay, Jock – PersonEntity: Name: NameFull: Steiner, Stefan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2010 Type: published Y: 2010 Identifiers: – Type: issn-print Value: 00401706 Numbering: – Type: volume Value: 52 – Type: issue Value: 3 Titles: – TitleFull: Technometrics Type: main |
| ResultId | 1 |
