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

Control charts are powerful tools used to monitor the quality of processes. In practice, control
chart limits are often calculated using parameter estimates from an in-control Phase I …

Automated fault detection is an important part of a quality control system. It has the potential
to increase the overall quality of monitored products and processes. The fault detection of …

Quality is a central element in business strategy and academic research. Despite important
research on quality, an opportunity for an integrative framework remains. The authors …

This paper provides an overview and analysis of statistical process monitoring methods for
fault detection, identification and reconstruction. Several fault detection indices in 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 …

Statistical process control (SPC) methods are widely used to monitor and improve
manufacturing processes and service operations. Disputes over the theory and application …

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 present an overview of the literature on nonparametric or distribution-free control charts
for univariate variables data. We highlight various advantages of these charts while pointing …

Objective: The purpose of this article is to discuss strengths and weaknesses of quasi-
experimental designs used in health care quality improvement research. The target groups …