Control charts are a widely used tool for statistical process control and have been continuously researched and applied for several decades. If the underlying assumptions are guaranteed, traditional charts such as the Shewhart, EWMA or CUSUM chart are a reasonable choice for monitoring...

The cumulative sum (CUSUM) control chart and the multivariate anomaly detection with the generative adversarial network (MAD-GAN) were compared for monitoring the time series data. However, it is not correct because the one-class classification was considered for the training phase and the...

Process control methods, in general, and quality, in particular, most often refer to the measures taken especially to the finished product, as well as to the technological process, in order to maintain its performance within certain statistical parameters. Genichi Taguchi is the first who...

Historical investment performance is most commonly displayed as a charted time series of what are referred to simply as “growth” returns. Unfortunately, charts of such returns have a number of shortcomings that can severely limit their value as a means of providing investors with a...

In recent years, there has been a resurgence in the development of control charts for monitoring the mean of the ratio of two correlated variables. However, most of the existing research has focused on the univariate mean of the ratio of two correlated variables under the assumption that the...