View in EDS

An overview of synthetic‐type control charts: Techniques and methodology.

Saved in:
Bibliographic Details
Title: An overview of synthetic‐type control charts: Techniques and methodology.
Authors: Rakitzis, Athanasios C.1 (AUTHOR), Chakraborti, Subhabrata2,3 (AUTHOR) schakrab@cba.ua.edu, Shongwe, Sandile C.3 (AUTHOR), Graham, Marien A.4 (AUTHOR), Khoo, Michael Boon Chong5 (AUTHOR)
Source: Quality & Reliability Engineering International. Nov2019, Vol. 35 Issue 7, p2081-2096. 16p. 1 Diagram, 5 Charts.
Subjects: Quality control charts, CUSUM technique, Prediction markets, Design services, Markov processes
Abstract: In this paper, we provide an overview of a class of control charts called the synthetic charts. Synthetic charts are a combination of a traditional chart (such as a Shewhart, CUSUM, or EWMA chart) and a conforming run‐length (CRL) chart. These charts have been considered in order to maintain the simplicity and improve the performance of small and medium‐sized shift detection of the traditional Shewhart charts. We distinguish between different types of synthetic‐type charts currently available in the literature and highlight how each is designed and implemented in practice. More than 100 publications on univariate and multivariate synthetic‐type charts are reviewed here. We end with some concluding remarks and a list of some future research ideas. [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
Header DbId: egs
DbLabel: Engineering Source
An: 139252536
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: An overview of synthetic‐type control charts: Techniques and methodology.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Rakitzis%2C+Athanasios+C%2E%22">Rakitzis, Athanasios C.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chakraborti%2C+Subhabrata%22">Chakraborti, Subhabrata</searchLink><relatesTo>2,3</relatesTo> (AUTHOR)<i> schakrab@cba.ua.edu</i><br /><searchLink fieldCode="AR" term="%22Shongwe%2C+Sandile+C%2E%22">Shongwe, Sandile C.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Graham%2C+Marien+A%2E%22">Graham, Marien A.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Khoo%2C+Michael+Boon+Chong%22">Khoo, Michael Boon Chong</searchLink><relatesTo>5</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Quality+%26+Reliability+Engineering+International%22">Quality & Reliability Engineering International</searchLink>. Nov2019, Vol. 35 Issue 7, p2081-2096. 16p. 1 Diagram, 5 Charts.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Quality+control+charts%22">Quality control charts</searchLink><br /><searchLink fieldCode="DE" term="%22CUSUM+technique%22">CUSUM technique</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+markets%22">Prediction markets</searchLink><br /><searchLink fieldCode="DE" term="%22Design+services%22">Design services</searchLink><br /><searchLink fieldCode="DE" term="%22Markov+processes%22">Markov processes</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this paper, we provide an overview of a class of control charts called the synthetic charts. Synthetic charts are a combination of a traditional chart (such as a Shewhart, CUSUM, or EWMA chart) and a conforming run‐length (CRL) chart. These charts have been considered in order to maintain the simplicity and improve the performance of small and medium‐sized shift detection of the traditional Shewhart charts. We distinguish between different types of synthetic‐type charts currently available in the literature and highlight how each is designed and implemented in practice. More than 100 publications on univariate and multivariate synthetic‐type charts are reviewed here. We end with some concluding remarks and a list of some future research ideas. [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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=139252536
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/qre.2491
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 2081
    Subjects:
      – SubjectFull: Quality control charts
        Type: general
      – SubjectFull: CUSUM technique
        Type: general
      – SubjectFull: Prediction markets
        Type: general
      – SubjectFull: Design services
        Type: general
      – SubjectFull: Markov processes
        Type: general
    Titles:
      – TitleFull: An overview of synthetic‐type control charts: Techniques and methodology.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Rakitzis, Athanasios C.
      – PersonEntity:
          Name:
            NameFull: Chakraborti, Subhabrata
      – PersonEntity:
          Name:
            NameFull: Shongwe, Sandile C.
      – PersonEntity:
          Name:
            NameFull: Graham, Marien A.
      – PersonEntity:
          Name:
            NameFull: Khoo, Michael Boon Chong
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2019
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-print
              Value: 07488017
          Numbering:
            – Type: volume
              Value: 35
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Quality & Reliability Engineering International
              Type: main
ResultId 1