The exponentially weighted moving average (EWMA) X chart is effective in detecting small shifts. However, the EWMA X chart is not robust enough to prevent errors in estimating the process standard deviation or a changing standard deviation. To overcome this problem, Zhang et al. suggested the EWMA t chart in 2009. The existing optimal design of the EWMA t chart is based on the average run length (ARL) criterion. This paper proposes that the optimal design of the EWMA t chart be based on the median run length (MRL). The MRL performances of the optimal EWMA X and optimal EWMA t charts are compared
Exponentially Weighted Moving Average (EWMA) control charts yield insights into data in a way more c...
The MEWMA (called the multivariate exponentially weighted moving average) chart and the MCUSUM (call...
Designs of the double sampling (DS) X chart are traditionally based on the average run length (ARL) ...
The exponentially weighted moving average (EWMA) chart is effective in detecting small shifts. Howev...
The run sum (RS) X and exponentially weighted moving average (EWMA) X charts are very effective in ...
International audienceIn the literature, the sole dependence on the ARL as the performance measure o...
The run sum (RS) X and exponentially weighted moving average (EWMA) X charts are very effective in d...
The existing optimal design of the fixed sampling interval S2-EWMA control chart to monitor the samp...
The shape of run-length distribution changes with process shifts. This leads to complexity in interp...
International audienceExponential type charts are useful tools to monitor the time between events in...
Exponentially weighted moving average control chart (EWMA) is a popular chart used for detecting shi...
International audienceExponentially weighted moving average (EWMA) type charts are very popular and ...
The Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) control charts are very ...
This research aimed to propose a newly-mixed control chart called the Exponentially Weighted Moving ...
A new control chart, namely, modified exponentially weighted moving average (EWMA) control chart, fo...
Exponentially Weighted Moving Average (EWMA) control charts yield insights into data in a way more c...
The MEWMA (called the multivariate exponentially weighted moving average) chart and the MCUSUM (call...
Designs of the double sampling (DS) X chart are traditionally based on the average run length (ARL) ...
The exponentially weighted moving average (EWMA) chart is effective in detecting small shifts. Howev...
The run sum (RS) X and exponentially weighted moving average (EWMA) X charts are very effective in ...
International audienceIn the literature, the sole dependence on the ARL as the performance measure o...
The run sum (RS) X and exponentially weighted moving average (EWMA) X charts are very effective in d...
The existing optimal design of the fixed sampling interval S2-EWMA control chart to monitor the samp...
The shape of run-length distribution changes with process shifts. This leads to complexity in interp...
International audienceExponential type charts are useful tools to monitor the time between events in...
Exponentially weighted moving average control chart (EWMA) is a popular chart used for detecting shi...
International audienceExponentially weighted moving average (EWMA) type charts are very popular and ...
The Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) control charts are very ...
This research aimed to propose a newly-mixed control chart called the Exponentially Weighted Moving ...
A new control chart, namely, modified exponentially weighted moving average (EWMA) control chart, fo...
Exponentially Weighted Moving Average (EWMA) control charts yield insights into data in a way more c...
The MEWMA (called the multivariate exponentially weighted moving average) chart and the MCUSUM (call...
Designs of the double sampling (DS) X chart are traditionally based on the average run length (ARL) ...