There are some situations when the process mean fluctuates from time to time but is still
considered as in-control and the process standard deviation is a linear function of the …

Abstract In Statistical Process Monitoring, Distribution-free charting schemes play a vital role
in Industry 4.0 for their superior effectiveness compared to parametric methods, especially in …

Control chart is a useful tool to monitor the performance of the industrial or production
processes. Control charts are mostly adopted to detect unfavorable variations in process …

In the past few decades, research on nonparametric process monitoring schemes mainly
dealt with the uni‐aspect or bi‐aspect schemes, focusing on monitoring process location or …

The side sensitive synthetic chart was proposed to improve the performance of the synthetic
chart to monitor shifts in the coefficient of variation (γ), by incorporating the side sensitivity …

In statistical process control, the total number of nonconformities per unit of a process is
monitored by using the c chart. In this study, the run length performance of the synthetic c …

Monitoring of the process coefficient of variation (CV) with one‐sided CUSUM charts has
been considered in the literature. In this short note, we develop a near‐optimal one‐sided …

The exponentially weighted moving average (EWMA) X¯ chart with the variable-sampling-
interval (VSI) feature is usually scrutinized under the assumption of known process …

The synthetic coefficient of variation (CV) chart is currently evaluated based only on the
average run length (ARL), but this paper evaluates the chart based on different percentiles …

A control scheme is the most excellent and irreplaceable tool in Statistical Process Control
because of its effectiveness in controlling and monitoring the process, which indirectly helps …