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Journal of Industrial and Production Engineering Volume 32, 2015 - Issue 8
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Articles

Monitoring high-quality processes with one-sided conditional cumulative counts of conforming chart

Jing-Er ChiuDepartment of Industrial Engineering and Management, National Yunlin University of Science and Technology, Yunlin64002, Taiwan, ROCCorrespondence[email protected]
&
Chih-Hsin TsaiNational Environmental Health Research Center, National Health Research Institute, Miaoli Country35053, Taiwan, ROC
Pages 559-565 | Received 18 Mar 2015, Accepted 30 Aug 2015, Published online: 02 Oct 2015

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Read on this site (3)

Surria Noor, Muhammad Noor-ul-Amin, Muhammad Mohsin & Azaz Ahmed. (2022) Hybrid exponentially weighted moving average control chart using Bayesian approach. Communications in Statistics - Theory and Methods 51:12, pages 3960-3984.
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Paolo Carmelo Cozzucoli & Marco Marozzi. (2018) Monitoring multivariate Poisson processes: a review and some new results. Quality Technology & Quantitative Management 15:1, pages 53-68.
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Silvia Joekes, Marcelo Smrekar & Andrea F. Righetti. (2016) A comparative study of two proposed CCC-r charts for high quality processes and their application to an injection molding process. Quality Engineering 28:4, pages 467-475.
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Articles from other publishers (2)

Muhammad Noor‐ul‐Amin & Surria Noor. (2021) Homogeneously weighted moving average control chart based on Bayesian theory. Quality and Reliability Engineering International 37:8, pages 3617-3637.
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Fábio Mariano Bayer, Catia Michele Tondolo & Fernanda Maria Müller. (2018) Beta regression control chart for monitoring fractions and proportions. Computers & Industrial Engineering 119, pages 416-426.
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