Yes, mathematical programming models can handle uncertainty and variability through various approaches. Techniques like stochastic programming, robust optimization, and scenario-based modeling can incorporate uncertainty in the model by considering different scenarios or probability distributions. These techniques help decision-makers make more robust and adaptive decisions in the face of uncertain factors.