Comparative Analysis between EWMA, DEWMA and Mixed Tukey EWMA Control Chart

Abstract

The control chart is a good tool for monitoring. Single and double exponential weighted moving average control charts are suitable charts to detect small shifts in the process parameters. For good detection, an ability the displaced moving average chart relies depends on the normality assumption. Occasionally, there is a need to see small trends instead of shifts. A double exponentially weighted moving average (DEWMA) control chart extends the EWMA control chart by performing exponential smoothing twice. In recent years, it has been seen that the DEWMA control chart is more efficient than the EWMA control technique for detecting small shifts in the process mean. With technological advancement, we improve strategies that combine many elements into a single framework. This paper is a development of a previous effort to build a better charting framework in the form of a mixed Tukey’s control chart. Tukey’s control charts are a good choice for robust process monitoring. According to the comparison study, the suggested scheme is an effective rival to EWMA. We build improved procedures that include several features in a single construction with technological innovation. This paper aims to create a better chart and provide a comparative analysis between EWMA, DEWMA, and mixed Tukey EWMA, to show the best process control chart. We improve