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 …

In some statistical process control applications, the quality of a process or product can be
characterized by a relationship between a response variable and one explanatory variable …

In some quality control applications, quality of a product or process can be characterized by
a relationship between two or more variables that is typically referred to as profile. Moreover …

In some statistical process control applications, there are some correlated quality
characteristics which can be modeled as linear functions of some explanatory variables. We …

In certain cases, the quality of a process or a product can be effectively characterized by two
or more multiple linear regression profiles in which response variables are correlated. This …

In the modern era of digitalization, manufacturing industries needed monitoring methods to
timely detect an abrupt change in the process. Control charts are widely used online …

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 …

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 …

In many industrial processes, the quality characteristic of interest has a relation (linear or
non-linear) with other supporting variable (s). Simple linear profile is a well-known term used …

In many manufacturing processes, study variable is not the only quality characteristic, but
there may exist some explanatory variable (s) that are associated with the study variable …