Abstract
A new control chart is being presented using an exponentially weighted moving average (EWMA) statistic and moving average (MA) statistic to monitor the number of defective counts before specified time which follows Weibull distribution. Steps for construction of the control charts are presented, and the efficiency of the control chart is measured using average run length (ARL). To find ARL values and standard deviation of run length (SDRL) values, Monte Carlo simulations are performed by setting different parameters of the control chart. The proposed control chart is applied to simulated data and real-life data. The efficiency is compared with the popular Shewhart control chart and usual EWMA control chart, and found that the proposed MA-EWMA control chart better detects shifts in an ongoing process.
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