Abstract
Control charts are an extremely valuable tool in statistical process control (SPC) for processing information from a system or procedure over time and displaying statistically significant changes in data while also showing how a system or process is changing. The modified exponentially weighted moving average - exponentially weighted moving average control chart (MEME) is proposed as a new mixed control chart for monitoring and quickly detecting moderate to small shifts in the mean process. Average and median run lengths are instruments for assessing efficiency through Monte Carlo simulations based on symmetric and nonsymmetric distributions. The performance comparison showed that the proposed chart outperformed alternatives control chart in simulation and in two real-data applications by lowering the out-of-control average run length.
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