화학공학소재연구정보센터
Computers & Chemical Engineering, Vol.20, No.6-7, 703-709, 1996
An Optimization Approach for Process Engineering Problems Under Uncertainty
The problem of selecting an optimal design/plan for process model involving stochastic parameters is addressed in this paper. A classification of uncertainty is introduced depending on its sources and mathematical model structure. A combined multiperiod/stochastic optimization formulation is then proposed along with a decomposition-based algorithmic procedure for its solution. The approach is illustrated with a process synthesis/planning example problem.