The complexity of modern problems turns increasingly larger in industrial environments, so
the classical process monitoring techniques have to adapt to deal with those problems. This …

In many applications the quality of a process or product is best characterized and
summarized by a functional relationship between a response variable and one or more …

The increasing availability of high-volume, high-velocity data sets, often containing variables
of different data types, brings an increasing need for monitoring tools that are designed to …

Quality of some processes or products can be characterized effectively by a function referred
to as profile. Many studies have been done by researchers on the monitoring of simple …

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 most modern manufacturing systems, products are often the output of several correlated
stages. Nevertheless, quality of a product or process in both single and multistage …

In some statistical process control (SPC) applications, it is assumed that a quality
characteristic or a vector of quality characteristics of interest follows a univariate or …

In today's manufacturing industries, if the quality characteristic of a product or a process is
assumed to be represented by a functional relationship between the response variable and …