During the last two decades, many new methods have appeared in statistical process monitoring with synthetic-type control charts being a prominent constituent. These became popular due to their simplicity and proclaimed excellent change point detection performance. Synthetic are nothing more than application of well-known long established runs rules. We show that better performance can be obtai...

The need for process monitoring in industry is ubiquitous. By monitoring process output, problems may be rapidly detected and corrected. However, in many industrial and medical applications observations are censored either due to inherent limitations or cost/time considerations. For example, when testing breaking strengths or failure times often a limited stress test is performed and only a sma...

Cardiopulmonary bypass (CPB) is a complex clinical process that takes place within an extremely complex care deliver system. During the past 50 years, many technicaland device-related improvements have been implemented. However, there remains enormous opportunity to improve. As has been shown in other industries, understanding variation is the key to improvement of any process, and Statistical ...

I describe a methodology for optimising n Shewhart -charts x operating on parallel production lines in a factory. The goal is to maximise the factory-wide probability of detecting an out-of-control condition subject to a constraint on the expected number of false signals. I use non-linear programming to appropriately set the -charts’ x control limits incorporating information about the probabil...

In this paper, two Shewhart-type nonparametric control charts based on runs rules are developed for monitoring the changes in the process variability. The charts are based on two nonparametric tests for equality of variances. The performance of the proposed control charts is evaluated for the normal, light tailed and heavy tailed distributions through average run length using simulations.