Control charts that are based on assumption (s) of a specific form for the underlying process
distribution are referred to as parametric control charts. There are many applications where …

In this paper, we propose a control chart for monitoring non-normal environmental data.
Particularly, we are interested in double bounded data, such as rates and proportions …

Nonparametric control charts are more practical tools for statistical process control (SPC), as
they are robust in situations in which the underlying distribution is unknown …

Improvements in measuring devices, the development of sensing technologies, automated
record-keeping and cloud storage facilities have offered us a large volume of data streams …

Two new distribution-free Lepage-type statistical process monitoring schemes are proposed.
One is the double exponentially weighted moving average Lepage scheme, and the other is …

Abstract The AEWMA (Adaptive Exponentially Weighted Moving Average) chart is a scheme
that combines the Shewhart and the classical EWMA charts in a smooth way. In this paper, a …

A control chart is a significant statistical technique that is used to monitor the production
process. When measurement error is present in the data, it affects the performance of the …

Recent advancement of sensor technology has made it possible to monitor high-
dimensional data streams in various manufacturing systems for quality improvement …

Monitoring time-between-events-and-amplitude (TBEA) data, including the time interval
between two successive nonconforming events and the amplitude of an event, is significant …

Cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) schemes
are widely used in monitoring small and persistent shifts in specific process characteristics …