We provide an overview and perspective on the Phase I collection and analysis of data for
use in process improvement and control charting. In Phase I, the focus is on understanding …

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 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 …

In most statistical process control (SPC) applications, it is assumed that the quality of a
process or product can be adequately represented by the distribution of a univariate quality …

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 …

A control chart based on the change-point model is proposed that is able to monitor linear
profiles whose parameters are unknown but can be estimated from historical data. This chart …

Profile monitoring is a relatively new set of techniques in quality control used when the
product or process quality is best represented by a function (or a curve) at each time period …

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 …