The problem of selecting an optimal design/plan for process models 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 appr oach is illustrated with a process synthesis/planning example problem.
|Original language||English (US)|
|Number of pages||7|
|Journal||Computers and Chemical Engineering|
|Publication status||Published - Jan 1 1996|
All Science Journal Classification (ASJC) codes
- Chemical Engineering(all)
- Computer Science Applications