Shift detection properties of moving centerline control chart schemes

In statistical process monitoring, violating the assumption of independent data results in a control chart that exhibits increased false alarms and tr ends on both sides of the centerline. Autocorrelation requires modification to traditional control chart techniques. This paper explores the shift det ection capability of the moving centerline exponentially weighted moving av erage (MCEWMA) chart and recommends enhancements for quicker detection of s mall process upsets.