Mining planning is a central problem in the mining business with the goal of setting high revenued exploitation agendas. However, current models lack robustness: they do not consider uncertainty of the future, so the plans are, indeed, recalculated every year according to the new information. This work presents some approaches to solve the above-mentioned problem: at first the current models are exposed, stochastic programming is used then to set up new models considering uncertainity. As a second contribution, the new models also generalize the current ones because they allow combined exploitation, setting up plans where underground and open pit technologies can be used simultaneously. Moreover, after a deeper revision of the current models and the stochastic programs mentioned, a second approach is exposed. This model, in the hope of more robust mining schedules, searches for schedules satisfying demands and capacities maximizing the residual ore for future, instead of the NPV value used in the previous ones. Finally, a heuristic is presented to solve this model.