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Utilizing Scenario Based Simulation ...

Islam, Md. Rubayat U. I.

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Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling./
Author:	Islam, Md. Rubayat U. I.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	105 p.
Notes:	Source: Masters Abstracts International, Volume: 81-06.
Contained By:	Masters Abstracts International81-06.
Subject:	Logic. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27603033
ISBN:	9781687977571

Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling.
Islam, Md. Rubayat U. I.

Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 105 p.

Source: Masters Abstracts International, Volume: 81-06.

Thesis (M.S.)--The University of Akron, 2019.

This item must not be sold to any third party vendors.

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.

ISBN: 9781687977571Subjects--Topical Terms:

529544
Logic.
Subjects--Index Terms:

Fleet Study

Utilizing Scenario Based Simulation Modeling to Optimize Aircraft Fleet Scheduling.
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300 $a 105 p.
500 $a Source: Masters Abstracts International, Volume: 81-06.
500 $a Advisor: Wang, Shengyong .
502 $a Thesis (M.S.)--The University of Akron, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a 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.
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650 4 $a Engineering. $3 586835
650 4 $a Industrial engineering. $3 526216
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Mechanical engineering. $3 649730
650 4 $a Systems science. $3 3168411
653 $a Fleet Study
653 $a Fleet Scheduling
653 $a Simulation Modeling
653 $a Fleet Composition
653 $a Federal Aviation Administration
653 $a Robust Modeling
653 $a Probabilistic Distribution
653 $a ILS Systems
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