Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling
General Material Designation
[Thesis]
First Statement of Responsibility
Islam, Md. Rubayat U. I.
Subsequent Statement of Responsibility
Wang, Shengyong
.PUBLICATION, DISTRIBUTION, ETC
Name of Publisher, Distributor, etc.
The University of Akron
Date of Publication, Distribution, etc.
2019
GENERAL NOTES
Text of Note
105 p.
DISSERTATION (THESIS) NOTE
Dissertation or thesis details and type of degree
M.S.
Body granting the degree
The University of Akron
Text preceding or following the note
2019
SUMMARY OR ABSTRACT
Text of Note
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.