A computationally efficient framework is presented for dynamicoptimization of batch distillationwhere chemical reaction and separation take place simultaneously.An objective to maximizethe conversion of the limiting reactant dynamic optimization problem(maximum conversionproblem) is formulated for a representative system, andparametric solutions of the problemare obtained. Polynomial curve fitting techniques are then appliedto the results of the dynamicoptimization problem. These polynomials are used to formulate anonlinear algebraic maximumprofit problem which can be solved extremelyefficiently using a nonlinear optimization solver.This provides an efficient framework which can be used for on-lineoptimization of batchdistillation within scheduling programs for batch processes. Themethod can also be easilyextended to nonreactive batch distillation and to nonconventional batchdistillation columns.