Short-term scheduling of chemical process including uncertainty

This paper addresses the scheduling of chemical process with uncertainty. A multiobjective robust optimization method is proposed to identify Pareto optimal solutions, where normal boundary intersection technique is utilized to trace the Pareto optimal surface in the objective space. The problem is also addressed using parametric mixed integer linear programming where uncertain parameters appear on the right hand side of the constraints. For the case of multiple uncertain parameters, a new algorithm is proposed that does not require the construction of the LP tableaus but relies on the comparison between solutions at leaf nodes resulting in the set of optimal solutions and their critical regions.