Implementation of an airline recovery model in an event-based simulation

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.

Bibliographic Details
Main Author: Rabbani, Fábio Faizi Rahnemay, 1978-
Other Authors: John-Paul Barrington Clarke.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/17786
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author Rabbani, Fábio Faizi Rahnemay, 1978-
author2 John-Paul Barrington Clarke.
author_facet John-Paul Barrington Clarke.
Rabbani, Fábio Faizi Rahnemay, 1978-
author_sort Rabbani, Fábio Faizi Rahnemay, 1978-
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.
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spelling mit-1721.1/177862019-04-11T11:16:51Z Implementation of an airline recovery model in an event-based simulation Rabbani, Fábio Faizi Rahnemay, 1978- John-Paul Barrington Clarke. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004. Includes bibliographical references (leaves 95-97). Airlines maximize the use of their resources by minimizing the time between consecutive flight legs in their aircraft and crew schedules. As a result, bad weather or unscheduled aircraft maintenance events can have a significant impact on an airline's operations. The consequences of these disruptions are major costs to airlines, passengers and, ultimately, to the economy itself. In this thesis, the steps taken to implement an airline schedule recovery model in a realistic simulation of the U.S. airspace system are presented. The MIT Extensible Network Simulation (MEANS), an event based queueing model of the U.S. National Airspace System, can be used for tactical decision making, long term decision making and post priori event analysis. Thus, the addition of a recovery model is critical to obtain accurate simulation results. The airline recovery model consists of an optimized aircraft re-scheduling model, a crew re-assigning model and a heuristic passenger itinerary search model. The model was used to simulate airline recovery procedures over the course of a day of operations for different scenarios. by Fábio Faizi Rahnemay Rabbani. S.M. 2005-06-02T18:38:53Z 2005-06-02T18:38:53Z 2004 2004 Thesis http://hdl.handle.net/1721.1/17786 56548455 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 97 leaves 4696704 bytes 4706043 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Aeronautics and Astronautics.
Rabbani, Fábio Faizi Rahnemay, 1978-
Implementation of an airline recovery model in an event-based simulation
title Implementation of an airline recovery model in an event-based simulation
title_full Implementation of an airline recovery model in an event-based simulation
title_fullStr Implementation of an airline recovery model in an event-based simulation
title_full_unstemmed Implementation of an airline recovery model in an event-based simulation
title_short Implementation of an airline recovery model in an event-based simulation
title_sort implementation of an airline recovery model in an event based simulation
topic Aeronautics and Astronautics.
url http://hdl.handle.net/1721.1/17786
work_keys_str_mv AT rabbanifabiofaizirahnemay1978 implementationofanairlinerecoverymodelinaneventbasedsimulation