Polymer producing companies normally produce many polymer grades in each po
lymerization reactor train according to customer demands; therefore, many g
rade-transition operations are necessary. However, the determination of the
se optimal strategies is difficult. To solve this problem, several sample s
imulations showing the optimal solutions of grade-transition strategies for
multistage olefin polymerization reactors with bimodal products were perfo
rmed. The methodology utilized a dynamic process simulator, POLYRED, couple
d to a sequential quadratic programming, nonlinear optimization algorithm,
by using two different objective functions with and without state constrain
ts. Ir is shown that the most beneficial case of using the optimization tec
hnology is the grade transition where the hydrogen content in a reactor mus
t be decreased and/or constraints are imposed on state variables.