Applications of mixed-integer linear programming in process synthesis

Abstract It is shown that important problems arising in process synthesis can be tackled effectively using mixed-integer linear programming techniques. Two examples are considered: the synthesis of chemical complexes that maximize its present value for a given number of periods where prices and demands fluctuate; and the synthesis of stream generation systems that minimize the total annual cost. Numerical results are presented for both cases.