The control chart is a very popular tool of statistical process control. It is used to determine the existence of special cause variation to remove it so that the process may be brought in statistical control. Shewhart-type control charts are sensitive for large disturbances in the process, whereas cumulative sum (CUSUM)–type and exponentially weighted moving average (EWMA)–type control charts ...

We evaluated the effect of so-called monitoring and treatment charts on the management of eclampsia in a referral hospital in Malawi. Baseline characteristics, clinical management, as well as overall maternal and perinatal outcome were compared by reviewing the medical files of two groups, before and after introduction of the charts in 2006. The use of the charts has resulted in improved monito...

In this chapter, we provide an introduction to Anomaly Detection and potential applications in manufacturing using Control Charts Machine Learning techniques. We elaborate on the peculiarities of process monitoring with especially smart contexts. present main research directions area summarize structure contribution book.

Control charts are widely used for process monitoring. Software reliability process can be monitored efficiently by using Statistical Process Control (SPC). It assists the software development team to identify failures and actions to be taken during software failure process and hence, assures better software reliability. In this paper we proposed a control mechanism based on order statistics of...

Runtime verification is a lightweight verification technique that checks whether an execution of a system satisfies a given property. A problem in monitoring specification languages is to express parametric properties, where the correctness of a property depends on both the temporal relations of events, and the data carried by events. In this paper, we introduce parametrized extended live seque...

Methods of statistical process control were briefly investigated in the field of educational measurement as early as 1999. However, only the use of a cumulative sum chart was explored. In this article other methods of statistical quality control are introduced and explored. In particular, methods in the form of Shewhart mean and standard deviation charts are introduced as techniques for ensurin...

Shewhart, exponentially weighted moving average (EWMA), and cumulative sum (CUSUM) charts are famous statistical tools, to handle special causes and to bring the process back in statistical control. Shewhart charts are useful to detect large shifts, whereas EWMA and CUSUM are more sensitive for small to moderate shifts. In this study, we propose a new control chart, named mixed CUSUM-EWMA chart...

controlling a system with minimum information and regardless of dynamic equations which dominate systems is the aim of intelligent control. one of the common approaches for process control is applying shewhart's quality control charts. neuro-fuzzy networks, as one of the branches of artificial intelligence (ai), can play an effective role in the enforcement of process control's common...

Clinical experience and nursing metrics have consistently identified poor documentation of fluid balance monitoring at Milton Keynes University Hospital, compromising patient safety and quality of care. This project aimed to increase the percentage of fluid balance charts correctly completed on the wards. Three areas for improvement were identified: understanding the importance of good fluid ba...

Control charts are widely used for process monitoring. Software reliability process can be monitored efficiently by using Statistical Process Control (SPC). It assists the software development team to identify failures and actions to be taken during software failure process and hence, assures better software reliability. In this paper we propose a control mechanism based on the cumulative quant...