The funnel experiment: The Markov-based SPC approach.
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| Title: | The funnel experiment: The Markov-based SPC approach. |
|---|---|
| Authors: | Singer, Gonen1, Ben-Gal, Irad1 bengal@eng.tau.ac.il |
| Source: | Quality & Reliability Engineering International. Dec2007, Vol. 23 Issue 8, p899-913. 15p. 2 Diagrams, 3 Charts, 5 Graphs. |
| Subjects: | Markov processes, Manufacturing processes, Statistical process control, Quality control, Stochastic processes |
| Abstract: | The classical funnel experiment was used by Deming to promote the idea of statistical process control (SPC). The popular example illustrates that the implementation of simple feedback rules to stationary processes violates the independence assumption and prevents the implementation of conventional SPC. However, Deming did not indicate how to implement SPC in the presence of such feedback rules. This pedagogical gap is addressed here by introducing a simple feedback rule to the funnel example that results in a nonlinear process to which the traditional SPC methods cannot be applied. The proposed method of Markov-based SPC, which is a simplified version of the context-based SPC method, is shown to monitor the modified process well. Copyright © 2007 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR] |
| Copyright of Quality & Reliability Engineering International is the property of Wiley-Blackwell 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: 27704214 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The funnel experiment: The Markov-based SPC approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Singer%2C+Gonen%22">Singer, Gonen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ben-Gal%2C+Irad%22">Ben-Gal, Irad</searchLink><relatesTo>1</relatesTo><i> bengal@eng.tau.ac.il</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Quality+%26+Reliability+Engineering+International%22">Quality & Reliability Engineering International</searchLink>. Dec2007, Vol. 23 Issue 8, p899-913. 15p. 2 Diagrams, 3 Charts, 5 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+processes%22">Manufacturing processes</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+process+control%22">Statistical process control</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+control%22">Quality control</searchLink><br /><searchLink fieldCode="DE" term="%22Stochastic+processes%22">Stochastic processes</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The classical funnel experiment was used by Deming to promote the idea of statistical process control (SPC). The popular example illustrates that the implementation of simple feedback rules to stationary processes violates the independence assumption and prevents the implementation of conventional SPC. However, Deming did not indicate how to implement SPC in the presence of such feedback rules. This pedagogical gap is addressed here by introducing a simple feedback rule to the funnel example that results in a nonlinear process to which the traditional SPC methods cannot be applied. The proposed method of Markov-based SPC, which is a simplified version of the context-based SPC method, is shown to monitor the modified process well. Copyright © 2007 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Quality & Reliability Engineering International is the property of Wiley-Blackwell 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: 10.1002/qre.852 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 15 StartPage: 899 Subjects: – SubjectFull: Markov processes Type: general – SubjectFull: Manufacturing processes Type: general – SubjectFull: Statistical process control Type: general – SubjectFull: Quality control Type: general – SubjectFull: Stochastic processes Type: general Titles: – TitleFull: The funnel experiment: The Markov-based SPC approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Singer, Gonen – PersonEntity: Name: NameFull: Ben-Gal, Irad IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2007 Type: published Y: 2007 Identifiers: – Type: issn-print Value: 07488017 Numbering: – Type: volume Value: 23 – Type: issue Value: 8 Titles: – TitleFull: Quality & Reliability Engineering International Type: main |
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