In order to monitor a process, quality practitioners frequently use Shewhart control charts (e.g. X –R, P-charts, etc.), so named after the pioneering work of Dr. Walter Shewhart. It can be shown that if there are sharp, intermittent changes to a process, these types of charts are highly effective. However, if one is interested in a small, sustained shift in a process, other types of control ch...

The cumulative sum (CUSUM) chart, well-known to be sensitive in detecting small and moderate parameter changes, is proposed here for monitoring a high yield process. The sensitivities of the CUSUM charts based on geometric, Bernoulli and binomial counts are compared. Based on the comparisons, recommendations for the selection of a chart are provided. Simple procedures are given for optimal desi...

A control chart is one of the tools Statistical Process Control (SPC) used to monitor a production process. The charts ability detect data that crosses border often done using variable transformation. In this paper, we will introduce cumulative sum (CUSUM) based on Link Relative transformation technique regression approach. results showed with was more sensitive compared previous CUSUM and char...

This study utilizes process control techniques to identify action limits for TomoTherapy couch positioning quality assurance tests. A test was introduced to monitor accuracy of the applied couch offset detection in the TomoTherapy Hi-Art treatment system using the TQA "Step-Wedge Helical" module and MVCT detector. Individual X-charts, process capability (cp), probability (P), and acceptability ...

• An unsupervised fault detection and diagnosis scheme based on orthogonal autoencoders is proposed for the monitoring of industrial chemical processes. The use integrated gradients allows exploration bottleneck autoencoder, providing candidate variables root cause analysis. method performs well compared to traditional methods in offering compelling interpretable results. analysis shows how dif...