Economic statistical process control for multivariate quality characteristics under Weibull shock model

By Su-Fen Yang, M. Abdur Rahim. 2005

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Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes (2013, methodology): “In particular, control charts for monitoring independent observations have been extensively investigated and applied (Alt, 1984; Mason et al., 1995; Aparisi and Haro, 2003; Yang and Rahim, 2005; Torng et al., 2009; Magalh~ aesa et al., 2009; Wu et al., 2009; Du and Xi, 2010; Ou et al., 2011; Costa a”
A new multivariate gage R&R method for correlated characteristics (2013, background): “Some of these include: Chen et al. (2005), Villalobos et al. (2005), Yang and Rahim (2005), Chen et al. (2006), Pan (2007), Pan and Jarrett (2007), Machado and Costa (2008), Chen and Chen (2008), Psarakis (2011), Boone and Chakraborti (2012), and Wang (2012).”
Using vector autoregressive residuals to monitor multivariate processes in the presence of serial correlation (2007, background): “…control (process monitoring) for independent observations include Hotelling (1947), Alt (1984), Jackson (1985), Lowry et al. (1992), Wierda (1994), Mason et al. (1995), Lowry and Montgomery (1995), Aparisi and Haro (2003), Yeh et al. (2004), Villalobos et al. (2005), and Yang and Rahim (2005).”