Airline revenue management : sell-up and forecasting algorithms

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2000.

Bibliographic Details
Main Author: Gorin, Thomas O. (Thomas Olivier), 1976-
Other Authors: Peter Paul Belobaba.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://theses.mit.edu/Dienst/UI/2.0/Describe/0018.mit.theses%2f2000-91
http://hdl.handle.net/1721.1/9245
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author Gorin, Thomas O. (Thomas Olivier), 1976-
author2 Peter Paul Belobaba.
author_facet Peter Paul Belobaba.
Gorin, Thomas O. (Thomas Olivier), 1976-
author_sort Gorin, Thomas O. (Thomas Olivier), 1976-
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2000.
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spelling mit-1721.1/92452019-04-11T07:06:14Z Airline revenue management : sell-up and forecasting algorithms Gorin, Thomas O. (Thomas Olivier), 1976- Peter Paul Belobaba. 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, 2000. Also available online at the MIT Theses Online homepage <http://thesis.mit.edu>. Includes bibliographical references. Recent technological improvements have allowed airlines to implement sophisticated Revenue Management systems in order to maximize revenues. Computational capabilities make it possible to perform network-based analysis of supply and demand and therefore to increase the gains achieved with the help of "0- D control" Revenue Management algorithms. However, the more commonly used and cheaper flight leg-based algorithms have not yet been used to the best of their potential and can still benefit from better modeling of passenger behavior. Our first purpose in this thesis is therefore to evaluate the benefits of incorporating sell-up models into current leg-based airline Revenue Management algorithms. Another question we would like to try and address is whether it would be possible to improve the leg-based models to reach revenue gains comparable to those of O-D control algorithms. To try and achieve this goal, we improve the modeling in our leg-based Revenue Management algorithms by accounting for the possibility of sellup, that is the probability that a passenger will accept a more expensive ticket than originally desired if seats are not available at the lower fare. In addition, previous research has shown that there are revenue gains to be achieved through better forecasting, therefore, we also evaluate the use of better forecasting methods and quantify their revenue impact. In particular, we focus our efforts on understanding the impact of the unconstraining models on revenue gains by using various detruncation methods and comparing their effect. by Thomas O. Gorin. S.M. 2005-08-22T23:47:42Z 2005-08-22T23:47:42Z 2000 2000 Thesis http://theses.mit.edu/Dienst/UI/2.0/Describe/0018.mit.theses%2f2000-91 http://hdl.handle.net/1721.1/9245 45536147 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://theses.mit.edu/Dienst/UI/2.0/Describe/0018.mit.theses%2f2000-91 http://dspace.mit.edu/handle/1721.1/7582 150 p. 14080259 bytes 14080016 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Aeronautics and Astronautics.
Gorin, Thomas O. (Thomas Olivier), 1976-
Airline revenue management : sell-up and forecasting algorithms
title Airline revenue management : sell-up and forecasting algorithms
title_full Airline revenue management : sell-up and forecasting algorithms
title_fullStr Airline revenue management : sell-up and forecasting algorithms
title_full_unstemmed Airline revenue management : sell-up and forecasting algorithms
title_short Airline revenue management : sell-up and forecasting algorithms
title_sort airline revenue management sell up and forecasting algorithms
topic Aeronautics and Astronautics.
url http://theses.mit.edu/Dienst/UI/2.0/Describe/0018.mit.theses%2f2000-91
http://hdl.handle.net/1721.1/9245
work_keys_str_mv AT gorinthomasothomasolivier1976 airlinerevenuemanagementsellupandforecastingalgorithms