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There is a chance element in simulation which means that changing a parameter, such as speed or handling capacity, can sometimes lead to performance results getting worse when you expect them to get better (or vice versa). For example, consider two simulations with exactly the same data, except one had 2.5 m/s elevators and the other 1.6 m/s. In a single simulation with 2.5 m/s elevators, a group of passengers may miss an elevator by less than a second, whereas in the simulation with 1.6 m/s elevators they catch it. So, sometimes the faster elevators perform worse. Of course, in the long run, the faster elevators will perform better.
By running multiple simulations for the same data, Elevate is mimicking real life. It is as if we are simulating Monday, Tuesday, Wednesday, etc. The results are then averaged for all the simulations, so overall we can see the benefit of the improved performance.
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