Many industrial processes are multivariate in nature since the quality of a product depends on more than one variable. Multivariate control procedures can be used to capture the relationship between the variables and to provide better process monitoring than that provided by the application of univariate control procedures on each variable. This is an important issue in a high-quality environment as almost all items will be conforming with respect to single attribute. Much work has been done on the multivariate variable processes. However, little attention has been paid to deal with the control of multivariate attribute processes, which is very important in practical production processes.