This paper investigates the application of Reliability Centered Maintenance (RCM) in utilizing operational data and mathematical and statistical modelling. Maintenance is a crucial aspect in operation to ensure optimal asset’s performance and its lifetime. RCM uses systematic methods to prioritize maintenance tasks and schedule depending on system’s influence on the reliability and safety. This research uses statistical and mathematical approach to investigate the systems behavior and determine the right maintenance intervals. By leveraging mathematical modeling, the probability of failure of a particular component can be estimated thus allowing calculated proactive maintenance planning. This approach enables optimal maintenance schedule just before predicted failure and minimizing unexpected breakdown. The combination of RCM with reliability distribution modelling offers a strong basis to enhance the efficiency and effectiveness of scheduled maintenance. The proposed model will produce a 6:1 preventive to reactive maintenance which will ensure an optimize utilization of resources in term of manpower and budgetary. The findings in this paper indicate how integrating operational data with advanced reliability analysis may result in considerable improvements in system reliability and operational efficiency, subsequently reducing downtime and maintenance costs.