Optimal operation and control of batch and semi-batch processes has an increasing importance in the chemical process industry.However, the solution of dynamic uncertainties in the process model might lead to a high risk of constraint violations.In order to solve the dynamic optimization problem under parametric uncertainty, four different approaches are investigated in this work.Thereafter, two of them are used in a multi-scenario eNMPC in order to robustly control batch processes under parametric uncertainties.