Ranked Set Sampling Designs for Monitoring The Skew-Normal Process

In this study, we have proposed to use various ranked set sampling designs to construct the mean charts based on Shewhart, Weighted Variance and Skewness Correction methods that are applied to monitor the process variability under the skew normal process. The performance of the mean charts based on var- ious ranked set sampling designs are compared with simple random sampling by Monte Carlo simulation. Simulation results revealed that the mean charts based on various ranked set sampling perform much better than simple random sampling