The evaporation stage in urea industry is a chemical process characterized by natural existence of nonlinear, time delay and multivariable interactions. The traditional control of such process is a great challenge. For this purpose, the advanced process control has been widely used to provide the best practical control strategy for optimum process operation. In this paper the application of model predictive control technique based real-time control system is implemented on a dynamic model of urea evaporation process. The results obtained showed a significant improvement of the control performance in both set-point tracking and disturbance rejection compared to PI control strategy.