Control charts are widely used in industries to monitor a process for quality improvement.
Evaluation of the average run length (ARL) or average time to signal (ATS) plays an …

The CUSUM chart is good enough to detect small-to-moderate shifts in the process
parameter (s) as it can be optimally designed to detect a particular shift size. The adaptive …

In this paper, we provide a sequential rank-based adaptive nonparametric cumulative sum
control chart for detecting a range of shifts in the location parameter. This chart is a self …

In this paper, we provide an adaptive Phase II nonparametric exponentially weighed moving
average control chart using variable sampling interval for detecting a range of shifts in the …

Nowadays, customers are increasingly claiming not only for better quality products at the
lowest possible cost, but also demanding customized solutions to satisfy their specific …

In many practical situations, multiple variables often need to be monitored simultaneously to
ensure the process is in control. In this article, we develop a feasible multivariate monitoring …

Control charts are widely used in statistical process control (SPC) to monitor the quality of
products or production processes. When dealing with a variable (eg, the diameter of a shaft …

A variable sampling interval (VSI) feature is introduced to the multivariate synthetic
generalized sample variance| S| control chart. This multivariate synthetic control chart is a …

A new control chart is developed by using the exponentially weighted moving average
(EWMA) statistics and a multiple testing procedure for controlling false discovery rate. The …

Nonparametric statistical control charts have been widely studied over the past decade. The
variable sampling intervals (VSIs) methods have been found to exhibit superior performance …