Control Charts for Monitoring the Mean of Skew-Normal Samples

The presence of asymmetric data in production processes or service operations has prompted the development new monitoring schemes. In this article, an adapted version exponentially weighted moving averages (EWMA) control chart with dynamic limits is proposed to monitor mean samples from skew-normal distribution. detection ability online was investigated by simulating average run length (ARL) performance for different out-of-control scenarios. results simulation study suggest that scheme overcomes main drawback recently developed Shewhart-type scheme. As shown existing procedure exhibits undesirable property taking longer detect changes value skewed normal observations due increases shape parameter basic distribution than stable conditions. work fairly acceptably all considered