In Phase I, Stage 1 of a multivariate process control, the implementation of a Hotelling's T ² chart with n individual observation, outliers cause difficulties with the estimation of process parameters and control limits due to masking effects. We propose procedures to construct robust estimators based upon the MVE (Minimum Volume Ellipsoide) and the biweighted S estimator, for case p = 2 (Bivariate Process). Simulation results show the good performance of these estimators before outliers presence, avoiding masking effects, when we are estimating the mean vector and varianza covarianza matrix, both individually and jointly. We make the investigation with different levels of contamination affecting the mean vector and varianza covarianza matrix.