Rescheduling Flights, Aircraft, and Passengers Simultaneously under Disrupted Operations - A Mathematical Programming Approach based on Statistical Analysis

Abstract : This article studies the problem of recovering a perturbed flight schedule considering flights, aircraft, and passengers simultaneously. This integration involves a big challenge in both modeling and solving. We propose a Mixed Integer Programming (MIP) formulation and a solution method that uses a statistical analysis for concentrating the search on probable good solutions. The method was evaluated in the context of the competition ROADEF challenge 2009: Disruption Management for Commercial Aviation proposed by AMADEUS, obtaining very good results and showing to be quite effective and viable in practice.
Type de document :
Communication dans un congrès
AGIFORS Airline Operations 2009, Sep 2009, Atlanta, Georgia, United States. 2009
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https://hal-emse.ccsd.cnrs.fr/emse-00468017
Contributeur : Sabine Salmeron <>
Soumis le : lundi 29 mars 2010 - 17:58:16
Dernière modification le : lundi 23 octobre 2017 - 14:38:01

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  • HAL Id : emse-00468017, version 1

Citation

Rodrigo Acuña-Agost, Dominique Feillet, Philippe Michelon, Serigne Gueye. Rescheduling Flights, Aircraft, and Passengers Simultaneously under Disrupted Operations - A Mathematical Programming Approach based on Statistical Analysis. AGIFORS Airline Operations 2009, Sep 2009, Atlanta, Georgia, United States. 2009. 〈emse-00468017〉

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