Many multivariate quality control techniques are used for multivariate variable processes, but few work for multivariate attribute processes. To monitor multivariate attributes, controlling the false alarms (type I errors) and considering the correlation between attributes are two important...

This article studies a unique feature of the binomial CUSUM chart in which the difference (dt-d0) is replaced by (dt-d0)2 in the formulation of the cumulative sum Ct (where dt and d0 are the actual and in-control numbers of nonconforming units, respectively, in a sample). Performance studies are...

Abstract In a production process, when quality of the product depends on more than one characteristic, ‘Multivariate Quality Control’ ( MQC ) techniques are used. Many MQC techniques have been developed to control multivariate variable processes, but not much work has been reported on...