Abstract Measurement error (M.E) can have a substantial impact on quality control applications, diminishing the sensitivity to detect changes in the mean or variance of quality characteristics.To monitor shifts in process mean and dispersion, Exponentially Weighted Moving Average (EWMA) icon airflite goggles and Cumulative Sum (CUSUM) control charts are commonly employed.
In our research, we investigated the influence of M.E on the Triple Exponentially Weighted Moving Average (TEWMA) control chart.We assessed the performance of the control chart using Average Run Length (ARL) as the evaluation metric.
To compute the ARL properties, we adopted the Monte-Carlo simulation method.A comparison section has been 5x4 tattoo made to check the performance efficiency of the control chart with the existing EWMA control chart.The implementation of a control chart on a real data set is also presented.