Ranked-Set Sampling Based Distribution Free Control Chart with Application in CSTR Process

Nonparametric (distribution-free) control charts have been introduced in recent years when quality characteristics do not follow a specific distribution. When the sample selection is prohibitively expensive, we prefer ranked-set sampling over simple random because ranked set sampling-based outperform charts. In this study, proposed nonparametric homogeneously weighted moving average based on Wilcoxon signed-rank test with () chart for detecting shifts process location of continuous and symmetric Monte Carlo simulations are used to obtain run length evaluate performance chart. The chart’s compared that parametric These include exponentially (EWMA) chart, EWMA sign findings show performs better than its competitors, particularly small shifts. Finally, an example presented demonstrate how scheme can be implemented practically.