This conference seeks to guide the participant in the steps for the development of process performance models. The definition of a performance model will be analyzed. The need to have good quality measurements. Two types of Process Performance Models will be explored: Linear regression and Monte Carlo simulation. We will discuss the prerequisites and the results expected, the concepts of relevant and non-relevant factors, as well as concepts related to linear regression such as probability, correlation and relevant factors. The theory about Monte Carlo simulation and its concepts will be explained. - Quality measurements - PPMs prerequisites and results - Tips for model development