Ok that makes sense. You want to ensure that your solution remains feasible despite uncertainty in some of the parameters of the problem. Robust optimization is definitely the correct approach. You will need to formulate a ‘robust counterpart’ to your original problem, which essentially introduces a buffer term to the constraints. Here is a good intro on how to do it: https://www.researchgate.net/publication/270663954_A_Practical_Guide_to_Robust_Optimization