This paper presents an economic-statistical design of T2 control charts with variable parameters (VP). We optimize this model using a genetic algorithm (GA) approach. Furthermore, variable sample size and control limits (VSSC) and variable sample size (VSS), variable sampling interval (VSI), variable sampling interval and control limits (VSIC) and VP T2 charts are compared with respect to the expected cost per unit time. The Hotelling’s T2 control chart with variable parameters (VP T2) has been proved to have a very good performance on detecting small shifts when it is compared to the other T2 control chart.
