Control chart is the most important Statistical Process Control (SPC) tool used to monitor reliability and performance of manufacturing processes. Variability EWMA charts are widely used for the detection of small shifts in process dispersion. For ease in computation all the variability EWMA charts proposed so far are based on asymptotic nature of control limits. It has been shown in this study...

background : there are few published studies that use real data testing to examine the performance of outbreak detection methods. the aim of this study was to determine the performance of the exponentially weighted moving average (ewma) in real time detection of a local outbreak in mashhad city, eastern iran . methods : the ewma algorithms (both ewma 1 with λ=0.3 and ewma 2 with λ=0.6) were app...

This work presents a comparative study of the performance of the cumulative sum (CuSum), as well as the exponentially weighted moving average (EWMA) control charts. The objective of this research is to verify when CuSum and EWMA control charts do the best control region, in order to detect small changes in the process average. Starting from the data of a productive process, several series were ...

This work presents an exponentially weighted moving average (EWMA)-based synthesised control scheme for a process with outliers. Based on experience, some processes occasionally have outliers. The use of traditional mean ( X ) and range (R) control charts (denoted as X=R) for monitoring process mean and variance leads to high-level false alarms. In this study, the fast-detection technique (EWMA...

Forecasting end-to-end throughput accurately can be vital for several applications. Peer-to-peer applications like BitTorrent or Skype will be able to select the peers more efficiently if the throughput in the short-term is known. On the other hand applications can adapt their behaviour accordingly, if they know how the end-to-end throughput is going to vary in the lifetime of a connection. Thi...