Control charts for a double-sampling scheme based on average production run lengths.

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Title: Control charts for a double-sampling scheme based on average production run lengths.
Authors: Croasdale, Robert1
Source: International Journal of Production Research. Sep74, Vol. 12 Issue 5, p585-592. 8p.
Subjects: Statistical sampling, Work sampling, Flow charts, Production engineering, Manufacturing processes, Quality control
Abstract: The paper describes a double-sampling scheme for controlling the mean of a normal population. Results are presented which show considerable improvement over certain single-sampling schemes when judged by the criterion of average production run length. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research 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
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Header DbId: egs
DbLabel: Engineering Source
An: 5780640
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Control charts for a double-sampling scheme based on average production run lengths.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Sep74, Vol. 12 Issue 5, p585-592. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Work+sampling%22">Work sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Flow+charts%22">Flow charts</searchLink><br /><searchLink fieldCode="DE" term="%22Production+engineering%22">Production engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Manufacturing+processes%22">Manufacturing processes</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+control%22">Quality control</searchLink>
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  Data: The paper describes a double-sampling scheme for controlling the mean of a normal population. Results are presented which show considerable improvement over certain single-sampling schemes when judged by the criterion of average production run length. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Production Research 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:
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    Identifiers:
      – Type: doi
        Value: 10.1080/00207547408919577
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 585
    Subjects:
      – SubjectFull: Statistical sampling
        Type: general
      – SubjectFull: Work sampling
        Type: general
      – SubjectFull: Flow charts
        Type: general
      – SubjectFull: Production engineering
        Type: general
      – SubjectFull: Manufacturing processes
        Type: general
      – SubjectFull: Quality control
        Type: general
    Titles:
      – TitleFull: Control charts for a double-sampling scheme based on average production run lengths.
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            NameFull: Croasdale, Robert
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          Dates:
            – D: 01
              M: 09
              Text: Sep74
              Type: published
              Y: 1974
          Identifiers:
            – Type: issn-print
              Value: 00207543
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              Value: 12
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              Value: 5
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            – TitleFull: International Journal of Production Research
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