Anomaly detection for processes with closed-loop control has become a widespread need in
Industry 4.0 shop floors. A major challenge in monitoring such processes arises from the …

Workers' quality of work life is an important factor which may affect organisational
performance and success significantly. The good quality of work life is beneficial in any …

Meta-analysis has been conducted based on 20 previous works from 4,040 firms at 16
countries from Asia, Europe and USA. Throughout this paper, the meta-analysis is applied to …

The control charts with exponentially weighted moving average (EWMA) had been shown to
be effective for detecting small shifts in the mean of the process characteristic. When the …

Purpose The purpose of this paper is to develop an integrated engineering process control
(EPC)–statistical process control (SPC) methodology for simultaneously monitoring and …

The purpose of this study was to develop an innovative online supervisor system to assist
the operators of an industrial manufacturing process in discovering new solutions for …

In this study, we present a new regression control chart which is able to detect the mean shift
in a production process. This chart is designed for autocorrelated process observations …

Abstract SPC (Statistical Process Control) is widely used to monitor processes. However,
recent developments in Industry 4.0 and improvements of machine tools question the …

In Systems Engineering, there are two methods that are used to improve the product quality
and to adjust process parameters. These methods are called Statistical Process Control …

In some statistical process control applications, quality of a process or a product is
characterised and monitored based on a variable or an attribute quality characteristic …