The Trinomial ATTRIVAR control chart
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DOI: 10.1016/j.ijpe.2019.107559
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- Roberto da Costa Quinino & Linda Lee Ho & Anderson Laécio Galindo Trindade, 2015. "Monitoring the process mean based on attribute inspection when a small sample is available," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(11), pages 1860-1867, November.
- Muhammad Aslam & Muhammad Azam & Nasrullah Khan & Chi-Hyuck Jun, 2015. "A mixed control chart to monitor the process," International Journal of Production Research, Taylor & Francis Journals, vol. 53(15), pages 4684-4693, August.
- Bezerra, Erica Leandro & Ho, Linda Lee & da Costa Quinino, Roberto, 2018. "GS2: An optimized attribute control chart to monitor process variability," International Journal of Production Economics, Elsevier, vol. 195(C), pages 287-295.
- Wu, Zhang & Khoo, Michael B.C. & Shu, Lianjie & Jiang, Wei, 2009. "An np control chart for monitoring the mean of a variable based on an attribute inspection," International Journal of Production Economics, Elsevier, vol. 121(1), pages 141-147, September.
- Ho, Linda Lee & Aparisi, Francisco, 2016. "ATTRIVAR: Optimized control charts to monitor process mean with lower operational cost," International Journal of Production Economics, Elsevier, vol. 182(C), pages 472-483.
- Lee Ho, Linda & Quinino, Roberto Costa, 2013. "An attribute control chart for monitoring the variability of a process," International Journal of Production Economics, Elsevier, vol. 145(1), pages 263-267.
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Keywords
Shewhart control chart; ATTRIVAR control chart; Truncated normal distributions; Average run length; Monitoring process mean;All these keywords.
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