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Airline Network Revenue Management by Multistage Stochastic Programming

Please always quote using this URN:urn:nbn:de:0296-matheon-3642
  • A multistage stochastic programming approach to airline network revenue management is presented. The objective is to determine seat protection levels for all itineraries, fare classes, point of sales of the airline network and all data collection points of the booking horizon such that the expected revenue is maximized. While the passenger demand and cancelation rate processes are the stochastic inputs of the model, the stochastic protection level process represents its output and allows to control the booking process. The stochastic passenger demand and cancelation rate processes are approximated by a nite number of tree structured scenarios. The scenario tree is generated from historical data using a stability-based recursive scenario reduction scheme. Numerical results for a small hub-and-spoke network are reported.

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Metadaten
Author:Andris Möller, Werner Römisch, Klaus Weber
URN:urn:nbn:de:0296-matheon-3642
Referee:Rolf H. Möhring
Document Type:Preprint, Research Center Matheon
Language:English
Date of first Publication:2006/11/16
Release Date:2006/11/15
Tag:
Institute:Humboldt-Universität zu Berlin
Preprint Number:358
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