Application of the Minimax Control Chartfor multivariate manufacturing process

ABSTRACT: Process problems can be identified using unnatural control chart patterns (CCPs). Multivariate process control can detect an out-of-control for a variable or group of variables that have caused the out-of-control signal. One of this charts are Minimax control charts. In this research, a performance analysis of three different Minimax control charts is performed with respect to their Chi-Square control chart counterparts. We define each unique control chart by a unique combination of quality characteristic mean vector and associated covariance matrix. To evaluate our approach, we compare the result of the Chi- Square and Minimax charts under different values of the sample size, the probability of a Type I error, and selected shifts. The result shows our proposed approach can improve the result.