In this paper we discuss the basic procedures for the implementation of multivariate
statistical process control via control charting. Furthermore, we review multivariate …

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 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 …

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 …

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 many quality control applications, use of a single (or several distinct) quality characteristic
(s) is insufficient to characterize the quality of a produced item. In an increasing number of …

We propose a change point approach based on the segmented regression technique for
testing the constancy of the regression parameters in a linear profile data set. Each sample …

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 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 …