Maintenance Scheduling
A company bidding for an aircraft contract needed to be able to estimate the percentage of time for which there would be sufficient aircraft available for service. The data consisted of the number of aircraft in the fleet, their mission requirements, scheduled maintenance intervals and duration and the likelihood of additional random faults occurring.
I built a model of the system, using a technique called Monte Carlo, to represent 5 years of aircraft operation. From this model I was able to advise my customer of the percentage availability and of various other parameters that were relevant to his tender.
I was also able to test the sensitivity of the results to variations in the requirements and assumptions.