After studying the results of my discrete event simulation
of an airlift, I realized the results could be approximated using the average
flying hours of the cargo aircraft. I built
a deterministic model of the time to complete an airlift using the concepts
from physics called dimensional analysis.
So the time to complete an airlift is equal to the total
number of flying hours needed to transport the cargo to the destination divided
by the average number of hours a cargo aircraft can fly per day divided by the
number of aircraft in the fleet.
That is,
days to complete the airlift = (total flying hours) / (flying hours/day/aircraft
* aircraft)
The total flying hours needed to transport the cargo to the
destination can be calculated as the total distance in nautical miles that
needs to be traveled by the aircraft in the airlift divided the average speed
of the cargo aircraft.
That is,
total flying hours required by the airlift =
(missions * nautical miles per mission round trip) /
(nautical miles per hour)
This model demonstrated the importance of dimensional
analysis as a tool for simulation. I
would later use a form of dimensional analysis called units consistency in my work in System Dynamics.
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