Abstract: A method of projecting aircraft maintenance costs is disclosed and includes generating a plurality of reliability models associated with a plurality of aircraft mechanical systems. The method also includes performing a plurality of simulations, where each simulation is related to operating one of the plurality of aircraft mechanical systems over a period of time and each simulation based on one of the plurality of reliability models. The method also includes projecting a maintenance cost of each of the plurality of aircraft mechanical systems over the period of time based on each simulation. The method also includes determining a total maintenance cost of the plurality of aircraft mechanical systems over the period of time based on the maintenance cost of each of the plurality of aircraft mechanical systems over the period of time.

Abstract: A method of determining a preferred order of implementing maintenance tasks and determining a plurality of maintenance tasks related to a received maintenance request is disclosed. A first expected cost of implementing the plurality of maintenance tasks in a first order and a second expected cost of implementing the plurality of maintenance tasks in a second order are determined. An implementation order for the plurality of maintenance tasks is selected based at least in part on the first and second expected costs. Expected costs may be determined based at least in part on the cost of implementing each maintenance task and based on the probability that the problem has not yet been addressed by preceding tasks.

Abstract: The disclosure is directed to a method of performing reliability analysis for a population of units. The method includes generating suspension population data based on a suspension representation, accessing failure data associated with the population of units, and performing reliability analysis for the population of units based at least in part on the generated suspension population data and the failure data.