Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling
[Thesis]
Islam, Md. Rubayat U. I.
Wang, Shengyong
The University of Akron
2019
105 p.
M.S.
The University of Akron
2019
The main aim of this thesis is to generate different simulation modeling scenarios for performing inspection operations on different Federal Aviation Administration facilities. Different combinations of aircraft and routes are initiated to design different scenarios for performing inspections. For assigning aircraft into the model, a study of FAA current fleet composition is made. To make the model robust, probabilistic distribution is introduced into the modeling approach. For every modeling approach or scenario, a various number of experiments with thousands of replications are created to generate a maximum, minimum and average number of inspections over a year that can be performed through that modeling approach. Furthermore, a comparison of the different modeling approaches is made based on the number of inspections made by each model over a year.