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Quality Engineering Volume 20, 2008 - Issue 3
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Original Articles

Modified R Charts for Improved Performance

César A. Acosta-Mejia Department of Industrial Engineering and Operations, Instituto Tecnológico Autónomo de México, MéxicoCorrespondence[email protected]
&
Joseph J. Pignatiello Jr. Department of Industrial and Manufacturing Engineering, FAMU – FSU, College of Engineering, Tallahassee, Florida
Pages 361-369 | Published online: 16 Jun 2008

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Zahra Jalilibal, Mohammad Hassan Ahmadi Karavigh, Amirhossein Amiri & Michael B. C. Khoo. (2023) Run rules schemes for statistical process monitoring: a literature review. Quality Technology & Quantitative Management 20:1, pages 21-52.
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V. Golbafian, M. S. Fallahnezhad & Y. Zare Mehrjerdi. (2017) A new economic scheme for CCC charts with run rules based on average number of inspected items. Communications in Statistics - Theory and Methods 46:24, pages 12023-12044.
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Athanasios C. Rakitzis & Demetrios L. Antzoulakos. (2016) Run sum control charts for the monitoring of process variability. Quality Technology & Quantitative Management 13:1, pages 58-77.
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Guoyi Zhang. (2014) Improved R and s control charts for monitoring the process variance. Journal of Applied Statistics 41:6, pages 1260-1273.
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Athanasios C. Rakitzis & Demetrios L. Antzoulakos. (2014) Control charts with switching and sensitizing runs rules for monitoring process variation. Journal of Statistical Computation and Simulation 84:1, pages 37-56.
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Athanasios C. Rakitzis & Demetrios L. Antzoulakos. (2011) On the improvement of one-sided S control charts. Journal of Applied Statistics 38:12, pages 2839-2858.
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Chuen-Sheng Cheng & Pei-Wen Chen. (2011) An ARL-unbiased design of time-between-events control charts with runs rules. Journal of Statistical Computation and Simulation 81:7, pages 857-871.
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Pei-Wen Chen & Chuen-Sheng Cheng. (2011) On Statistical Design of the Cumulative Quantity Control Chart for Monitoring High Yield Processes. Communications in Statistics - Theory and Methods 40:11, pages 1911-1928.
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Cesar Acosta-Mejia & JosephJ. Pignatiello$suffix/text()$suffix/text(). (2010) The Run Sum R Chart with Fast Initial Response. Communications in Statistics - Simulation and Computation 39:5, pages 921-932.
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Articles from other publishers (6)

Guillermo Hernandez Zamudio, Víctor G. Tercero Gomez & Mario G. Beruvides. (2023) Sensitizing Rules for Change Point Detection in Phase I Analysis with Nonparametric Shewhart-type Control Charts. Sensitizing Rules for Change Point Detection in Phase I Analysis with Nonparametric Shewhart-type Control Charts.
Marcela Machado, Antonio Costa & Felipe Domingues Simões. (2023) Monitoring bivariate processes with synthetic control charts based on sample ranges. Gestão & Produção 30.
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Kashinath Chatterjee, Christos Koukouvinos & Angeliki Lappa. (2020) A new S2‐TEWMA control chart for monitoring process dispersion. Quality and Reliability Engineering International 37:4, pages 1334-1354.
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Sotiris Bersimis, Markos V. Koutras & Athanasios C. Rakitzis. 2019. Handbook of Scan Statistics. Handbook of Scan Statistics 1 32 .
S. V. Rajmanya & V. B. Ghute. (2014) A Synthetic Control Chart for Monitoring Process Variability. Quality and Reliability Engineering International 30:8, pages 1301-1309.
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Saddam Akber Abbasi, Muhammad Riaz & Arden Miller. (2012) Enhancing the performance of CUSUM scale chart. Computers & Industrial Engineering 63:2, pages 400-409.
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