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Communications in Statistics - Theory and Methods Volume 49, 2020 - Issue 9
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Original Articles

A synthetic control chart for monitoring the small shifts in a process mean based on an attribute inspection

Wenhui ZhouSchool of Business Administration South China University of Technology, Guangzhou, Guangdong, ChinaView further author information
,
Na LiuSchool of Business Administration South China University of Technology, Guangzhou, Guangdong, ChinaView further author information
&
Zhibin ZhengSchool of Business Administration South China University of Technology, Guangzhou, Guangdong, ChinaCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-1867-6899View further author information
ORCID Icon
Pages 2189-2204 | Received 08 Oct 2018, Accepted 21 Dec 2018, Published online: 07 Feb 2019

Citations (8)

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Read on this site (2)

Gadre Mukund Parasharam & Nisha Padappa. (2022) Hybrid synthetic and group runs charts using alternating the charting statistic to monitor the mean vector of a multivariate process. Communications in Statistics - Theory and Methods 51:21, pages 7607-7630.
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Antonio Fernando Branco Costa & Antonio Faria Neto. (2022) Monitoring the process mean with an ATTRIVAR chart. Communications in Statistics - Theory and Methods 51:14, pages 4903-4920.
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Articles from other publishers (6)

Muhammad Ahsan, Muhammad Mashuri, Dedy Dwi Prastyo & Muhammad Hisyam Lee. (2024) Performance of T2-based PCA mix control chart with KDE control limit for monitoring variable and attribute characteristics. Scientific Reports 14:1.
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Muhammad Ahsan, Muhammad Mashuri & Hidayatul Khusna. (2022) Comparing the performance of Kernel PCA Mix Chart with PCA Mix Chart for monitoring mixed quality characteristics. Scientific Reports 12:1.
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Muhammad Ahsan, Muhammad Mashuri, Hidayatul Khusna & Wibawati. (2022) Kernel principal component analysis (PCA) control chart for monitoring mixed non-linear variable and attribute quality characteristics. Heliyon 8:6, pages e09590.
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FuPeng Xie, Amitava Mukherjee, JinSheng Sun, AnAn Tang & XueLong Hu. (2021) A synthetic multivariate exponentially weighted moving average scheme for monitoring of bivariate Gamma distributed processes. Quality and Reliability Engineering International 38:2, pages 848-876.
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Antonio Fernando Branco Costa. (2021) A trinomial chart for monitoring the process variance. Computers & Industrial Engineering 157, pages 107332.
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Qiang Wan & Mei Zhu. (2020) Integration of quadratic loss function approach in the economic design of VSI control chart with combined attribute‐variable inspection. Quality and Reliability Engineering International 37:3, pages 882-901.
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