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Chapitre d'ouvrage

Advances in Data Processing for Airlines Revenue Management

Abstract : In this communication advances in data processing techniques applied to Airlines Revenue Management are displayed. The general introduction presents a brief review of Airlines Revenue Management. The first of the paper introduces the problem of updating the probability distributions of demand for reservations. This updating process, facing the stochastic nature of demand for travel, is a cornerstone for the design of an efficient on-line decision support system to control the reservation process for a flight by an airline. The considered problem is formulated as a dual geometric problem to which an unconstrained non-convex, primal geometric problem is associated. A genetic algorithm optimization approach is proposed to solve the primal geometric problem, and then the classical geometric primal-dual transformations provide the solution to the initial problem. Then, the second part of the paper considers the design of a new Decision Support System for improving the reservation control process of airlines. A new recursive Dynamic Programming model for maximum expected revenue evaluation is defined, which, contrarily to other approaches, takes explicitly into account daily booking request arrivals. A practical Backward Dynamic Programming algorithm is established, leading to the design of an on-line optimisation module for Revenue Management. In this study two cases are considered. The first one considers that fare classes are not physically confined and the obtained results are extended in the second case to cover the situations where confinement of fare classes (Business Class and Economy Class) is applied
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Chapitre d'ouvrage
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https://hal-enac.archives-ouvertes.fr/hal-02201605
Contributeur : Laurence Porte Connectez-vous pour contacter le contributeur
Soumis le : mercredi 31 juillet 2019 - 13:56:05
Dernière modification le : mardi 19 octobre 2021 - 22:53:31

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Felix Mora-Camino, Luiz Gustavo Zelaya Cruz. Advances in Data Processing for Airlines Revenue Management. Computational Models, Software Engineering, and Advanced Technologies in Air Transportation, IGI Global, 2010, ⟨10.4018/978-1-60566-800-0.ch008⟩. ⟨hal-02201605⟩

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