Developing preventive and corrective maintenance strategies for military ground vehicles based on asset readiness and lifecycle cost is a challenge due to the complexity associated with the collection and storage of maintenance and failure data in the operational environment. Many of the past reliability centered maintenance efforts have encountered significant challenges in collecting, identifying, accessing, cleaning, enhancing, fusing, and analyzing the data. Another challenge is creating and maintaining complex simulation models that require significant effort and time to produce business value. The work described in this paper is the result of a collaborative effort among multiple US Army organizations to simplify the approach in order to gain valuable insight from the existing data. It is shown how the resulting process can be used to develop simplified models to optimize corrective and preventive maintenance programs. Details are provided on how to work with the existing data sources in order to develop and implement methods at the program management level. The simulation results demonstrate the benefits for the maintenance teams, logistics teams, operation teams, fleet planners, and warfighters.