This thesis presents an improved maintenance approach for the surface-mount technology; particularly the AX-50 I machine's scheduled of preventive maintenance by using reliability simulation. This is to predict the failure of the machine and estimate the probability that the machine will not fail over some operational time in order to maintain its functional from sudden breakdown, especially during critical time. The main aim of this study is to propose a better schedule of preventive maintenance than current schedule which is once a month based on the machine's reliability. Data source is collected from July 2014 until June 2015 for 24 hours (2 shifts) of working day from Monday to Sunday. The mathematical model used in this study is based on reliability and model simulation was developed by using Arena software. In conclusion, the best scheduled preventive maintenance for this machine is once for every two weeks. This frequency of scheduled preventive maintenance totally reduces the machine's breakdown as it will extend machine's re1iability and its lifespan thus prolong machine's time to fail.
