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

An overview is given of current research on control charting methods for process monitoring
and improvement. The discussion includes a historical perspective along with ideas for …

Today׳ s supply chain professionals are inundated with data, motivating new ways of
thinking about how data are produced, organized, and analyzed. This has provided an …

We provide a critical outlook of the evolution of Industrial Process Monitoring (IPM) since its
introduction almost 100 years ago. Several evolution trends that have been structuring IPM …

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 …

This volume provides an up-to-date coverage of the theory and applications of ordered
random variables and their functions. Furthermore, it develops the distribution theory of OS …

Risk, Surprises and Black Swans provides an in depth analysis of the risk concept with a
focus on the critical link to knowledge; and the lack of knowledge, that risk and probability …

In many industries, statistical process monitoring techniques play a key role in improving
processes through variation reduction and defect prevention. Modern large-scale industrial …

There are many applications of control charts in health-care monitoring and in public-health
surveillance. We introduce these applications to industrial practitioners and discuss some of …

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 …