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 …

Control charting techniques have been applied to a wide variety of areas. In certain areas,
such as in finance and healthcare, the process mean and variance are not independent of …

Monitoring coefficient of variation is one of the successful approaches to Statistical Process
Control (SPC) when the process mean and standard deviation are not constants. This paper …

The coefficient of variation (CV) is a unit-free and effective normalized measure of
dispersion. Monitoring the CV is a crucial approach in Statistical Process Control when the …

This paper proposes an adaptive Shewhart control chart implementing a variable sample
size strategy in order to monitor the coefficient of variation. The goals of this paper are as …

The coefficient of variation (CV), a measure of relative variability, is an important quality
control issue worthy of consideration in some manufacturing and service-oriented …

In some applications, a relation between a response variable and one or more explanatory
variables (referred as a “profile”) characterizes the quality of a process. Profile monitoring is …

In recent years, the coefficient of variation (CV) chart is receiving increasing attention in
quality control. A number of studies demonstrated that adaptive charts could detect process …

Although enhancing the detection ability of control charts with run-rules scheme is very
common, this approach received little attention in profile monitoring in which the quality of a …

Existing charts in the literature usually monitor either the mean or the variance of the
process. However, in certain scenarios, the practitioner is not interested in the changes in …