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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(More)
—An effective control scheme can be instrumental in increasing productivity and reducing cost. While facing an outlier-existing process, using the mean (X) control chart and the range (R) control chart for monitoring the process mean and variance will lead to high level false alarms. Recently, some median (X ~) control charts, such as the X ~-Shewhart(More)
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