We consider an online process control model which incorporates misclassification and multiple degrees of conformity. Items chosen for inspection are repeatedly classified because of the misclassification possibilities. Markov chain methodology such as absorption probabilities, first passage probabilities, and mean time to absorption can be used to study the short-term behavior and the long-term steady state behavior of the model of the process. An overview of the computation of various quantities of interest will be described.