Should Observations Be Grouped for Effective Process Monitoring?

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Monitoring the process mean and variance using a weighted loss function CUSUM scheme with variable sampling intervals (2006, background): “…nmax (the allowed maximum sample size), hmin (the allowed minimum sampling interval), and (δµ1, δσ1)(δµ1 = (µ1 − µ0)/σ0 and δσ1 = σ1/σ0, where µ1 and σ1 are the out-of-control values of the mean and standard deviation that should be detected as soon as possible (Reynolds and Stoumbos, 2004a).”
A Change-Point Model for a Shift in Variance (2005, background): “On the other side, Reynolds and Stoumbos (2004b) suggest that the use of rational groups of size greater than 1 in the CUSUM and EWMA is not the best choice for these methodologies either.”
Weighted-loss-function CUSUM chart for monitoring mean and variance of a production process (2005, background): “As a result, none of the current research works has investigated the optimization design of the charting parameters of the CCC scheme (Reynolds and Stoumbos 2004).”
Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014, background): “In addition, Reynolds and Stoumbos (2004) gave related results for monitoring with univariate normally-distributed data.”