The success and effectiveness of modern lean manufacturing concepts requires robust and higly reliable machinery. In this thesis I will compare the performance of a manufacturing system under different maintenance polices. The main focus of this work is to compare traditional time based maintenance policies with reliability based predictive maintenance policies that utilize real time sensory information to assist in decisions regarding maintenance management and component replacement. In this thesis I will demonstrate the benefits of using sensor based predictive maintenance to predict failure.