Time-between-events (TBE) data are available in industries such as manufacturing,maintenance, and even in service. Recently, control charts have been shown to be useful for the time-between-events to detect changes in the statistical distribution, especially the mean change. A common assumption for control chart design is the time between occurrences of events is exponentially-distributed. However, this is valid only when the events occurrence rate is constant. In this paper, a version of exponentially weighted moving average (EWMA) chart is developed for monitoring Weibull-distributed TBE data. The Average Run length (ARL) and Average Time to Signal (ATS) properties are examined, and an example is given for illustration.
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