Abstract: Metal wear has been identified as the main problem facing screw presses used in palm oil mills. The flights of the press screws experience severe wear. In a related research by the author (reported elsewhere), a multiple regression double-log model was developed to predict wear in press screws used in palm oil mills. The model served as best fitting curve for predicting wear in the system. Using the model, optimal operating conditions of press speed and throughput capacity has been established. Wear of flights is reduced to minimum at optimal press speed of 8 rev min 1 and 2.8485 E-10 m3/s throughput capacity.