Design of Control Charts Using Repetitive Sampling: A Comparative Study of Conditional Expected Delay

Abstract

Repetitive sampling is a valuable technique in statistical quality control, especially when industrial engineers face uncertainty with initial sample information. This study aims to develop a Conditional Expected Delay (CED) metric, focusing on scenarios without false alarms prior to a process shift, by using repetitive sampling for control charts. Additionally, we will evaluate the performance of control charts with repetitive sampling against traditional EWMA control charts in terms of CED, considering various smoothing constants and shift values. Our results demonstrate that control charts using repetitive sampling consistently outperform EWMA control charts. Therefore, based on our comprehensive analysis, we conclude that control charts with repetitive sampling are more efficient and effective than EWMA control charts.