Evaluating capability of a bivariate zero-inflated poisson process

A zero-inflated Poisson (ZIP) distribution is commonly used for modelling process data with single type of defect, and developing appropriate tools instituting statistical control manufacturing processes. However, in reality, such scenarios are very common where more than one defect can occur. For example, occurrences defects like solder short circuits (shorts) absence (skips) on printed circuit boards. In literature, different forms bivariate (BZIP) distributions proposed, which be the two types Control charts designed monitoring processes using BZIP models. Although evaluation capability an integral part a process, researchers have given little effort this aspect Only few articles attempted to evaluate univariate no work reported evbaluating process. paper, methodology measuring presented. The proposed illustrated case studies.