A Bayesian Approach to Monitoring the Mean of a Multivariate Normal Process

ABSTRACT A Bayesian multivariate quality control procedure for monitoring the process mean vector is introduced and compared with existing multivariate procedures. Under the Bayesian framework, one blends prior information about the process mean vector with the sample data to estimate the posterior mean vector and use this to decide if the process is in control.