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Monitoring of time between events with a double generally weighted moving average control chart
Authors:Vasileios Alevizakos  Christos Koukouvinos  Angeliki Lappa
Abstract:Monitoring of time between events (TBE) instead of the number of events is used in high‐quality processes where the events occur rarely. This article presents a double generally weighted moving average control chart with a lower time‐varying control limit to monitor the TBE (regarded as DGWMA‐TBE chart). The design parameters of the proposed chart are provided, and through a simulation study, it is shown that the DGWMA‐TBE chart is more effective than the DEWMA and GWMA charts in detecting moderate to large shifts. Furthermore, the DGWMA‐TBE chart is very robust for the same range of shifts when the TBE observations follow a Weibull or a lognormal distribution. Finally, examples are also presented to enhance the performance of the proposed chart.
Keywords:average run‐length  DGWMA chart  gamma distribution  GWMA chart  robustness  time between events
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