Optimal airline seat inventory control for multi‐leg flights
Airline seat inventory control is about “selling the right seats to the right people at the right time”. In this paper, the problem of determining optimal booking policy for multiple fare classes in a pool of identical seats for multi‐leg flights is considered. During the time prior to departure of...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2004-12-01
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| Series: | Aviation |
| Subjects: | |
| Online Access: | https://journals.vgtu.lt/index.php/Aviation/article/view/7475 |
| _version_ | 1818865643703762944 |
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| author | Edgars K. Vasermanis Nicholas A. Nechval Konstantin N. Nechval Kristine N. Rozite |
| author_facet | Edgars K. Vasermanis Nicholas A. Nechval Konstantin N. Nechval Kristine N. Rozite |
| author_sort | Edgars K. Vasermanis |
| collection | DOAJ |
| description | Airline seat inventory control is about “selling the right seats to the right people at the right time”. In this paper, the problem of determining optimal booking policy for multiple fare classes in a pool of identical seats for multi‐leg flights is considered. During the time prior to departure of a multi‐leg flight, decisions must be made concerning the allocation of reserved seats to passengers requesting space on the full or partial spans of the flight. It will be noted that in the case of multi‐leg flights the long‐haul passengers are often unable to obtain seats because the shorter‐haul passengers block them. For large commercial airlines, efficiently setting and updating seat allocation targets for each passenger category on each multi‐leg flight is an extremely difficult problem. This paper presents static and dynamic models of airline seat inventory control for multi‐leg flights with multiple fare classes, which allow one to maximize the expected contribution to profit. The dynamic model uses the most recent demand and capacity information and allows one to allocate seats dynamically and anticipatorily over time.
First Published Online: 14 Oct 2010 |
| first_indexed | 2024-12-19T10:50:49Z |
| format | Article |
| id | doaj.art-90740af3fdd14d4f802ef82e23ec513c |
| institution | Directory Open Access Journal |
| issn | 1648-7788 1822-4180 |
| language | English |
| last_indexed | 2024-12-19T10:50:49Z |
| publishDate | 2004-12-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | Aviation |
| spelling | doaj.art-90740af3fdd14d4f802ef82e23ec513c2022-12-21T20:25:00ZengVilnius Gediminas Technical UniversityAviation1648-77881822-41802004-12-018410.3846/16487788.2004.9635883Optimal airline seat inventory control for multi‐leg flightsEdgars K. Vasermanis0Nicholas A. Nechval1Konstantin N. Nechval2Kristine N. Rozite3Mathematical Statistics Department, University of Latvia, Raina Blvd 19, LV-1050 Riga, LatviaMathematical Statistics Department, University of Latvia, Raina Blvd 19, LV-1050 Riga, LatviaComputer Science Department, Institute of Transport and Telecommunication, Lomonosov Street 1, LV-1019 Riga, LatviaMathematical Statistics Department, University of Latvia, Raina Blvd 19, LV-1050 Riga, LatviaAirline seat inventory control is about “selling the right seats to the right people at the right time”. In this paper, the problem of determining optimal booking policy for multiple fare classes in a pool of identical seats for multi‐leg flights is considered. During the time prior to departure of a multi‐leg flight, decisions must be made concerning the allocation of reserved seats to passengers requesting space on the full or partial spans of the flight. It will be noted that in the case of multi‐leg flights the long‐haul passengers are often unable to obtain seats because the shorter‐haul passengers block them. For large commercial airlines, efficiently setting and updating seat allocation targets for each passenger category on each multi‐leg flight is an extremely difficult problem. This paper presents static and dynamic models of airline seat inventory control for multi‐leg flights with multiple fare classes, which allow one to maximize the expected contribution to profit. The dynamic model uses the most recent demand and capacity information and allows one to allocate seats dynamically and anticipatorily over time. First Published Online: 14 Oct 2010https://journals.vgtu.lt/index.php/Aviation/article/view/7475aircrafttransportationdatamodel-based controloptimization |
| spellingShingle | Edgars K. Vasermanis Nicholas A. Nechval Konstantin N. Nechval Kristine N. Rozite Optimal airline seat inventory control for multi‐leg flights Aviation aircraft transportation data model-based control optimization |
| title | Optimal airline seat inventory control for multi‐leg flights |
| title_full | Optimal airline seat inventory control for multi‐leg flights |
| title_fullStr | Optimal airline seat inventory control for multi‐leg flights |
| title_full_unstemmed | Optimal airline seat inventory control for multi‐leg flights |
| title_short | Optimal airline seat inventory control for multi‐leg flights |
| title_sort | optimal airline seat inventory control for multi leg flights |
| topic | aircraft transportation data model-based control optimization |
| url | https://journals.vgtu.lt/index.php/Aviation/article/view/7475 |
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