A multivariate adaptive control chart for simultaneously monitoring of the process parameters

There have been some advances in multivariate control charts recent years. This paper presents a new simultaneous scheme for monitoring both the mean and variability of normal process single chart, which is developed by improving modifying another recently proposed scheme. We not only propose but also make it adaptive varying all chart parameters. Our scheme, first time, considers two forms: “covariance matrix” “multivariate coefficient variation (MCV)”. again MCV with parameter (in our case, vector). In addition, we develop Markov chain model to compute average run length time signal values. conduct extensive numerical analyses measure performance scenarios variability. At last, present example using real dataset from healthcare illustrate how can be implemented practice.