Sometimes the quality of a process is best expressed by a relationship between response
variables and explanatory variables. Checking over the time the stability of such functional …

The purpose of this paper is to provide an overview and our perspective of recent research
and applications of statistical process monitoring. The focus is on work done over the past …

The performance of the Shewhart X̄ control chart with estimated in-control parameters has
been discussed a number of times in the literature. Previous studies showed that at least …

When in-control process parameters are estimated, Phase II control chart performance will
vary among practitioners due to the use of different Phase I data sets. The typical measure of …

We evaluate the in-control performance of the S 2 control chart with estimated parameters
conditional on the Phase I sample. Simulation results indicate no realistic amount of Phase I …

The performance of control charts can be adversely affected when based on parameter
estimates instead of known in‐control parameters. Several studies have shown that a large …

This article proposes a CV chart by using the variable sample size and sampling interval
(VSSI) feature to improve the performance of the basic CV chart, for detecting small and …

In recent years, effective profile monitoring for discrete response variables, such as binary,
multinomial, ordinal or Poisson variables, has increasingly attracted interest of researchers …

In many manufacturing or service processes, we come across different quality characteristics
that govern the process behavior. These characteristics are categorized as the main quality …

The multivariate adaptive exponentially weighted moving average control chart (MAEWMA)
can detect shifts of different sizes while diminishing the inertia problem to a large extent …