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 …

Control charts are the most popular monitoring tools used to distinguish between special
(assignable) and common causes of variation and to detect any changes in processes. The …

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 aim of this book is to summarize major achievements in statistical profile monitoring
methods. Statistical profile monitoring can be considered as a potential subarea of statistical …

We propose a statistical process control scheme that can be implemented in industrial
practice, in which the quality of a process can be characterized by a general linear profile …

In some applications, the quality of a process is characterized by the functional relationship
between a response variable and one or more explanatory variables. Profile monitoring is …

Process monitoring and fault diagnosis using profile data remains an important and
challenging problem in statistical process control (SPC). Although the analysis of profile data …

The use statistical process control (SPC) in monitoring and diagnosis of process and product
quality profiles remains an important problem in various manufacturing industries. The SPC …

Pertaining to industrial applications in which the response variable of interest is binary, this
paper studies how the profile functional relationship between the response and predictor …

In most statistical process control applications, the quality of a process or product is
characterized by univariate or multivariate quality characteristics and monitored by the …