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Distributionally robust airline fleet assignment problem

Marco Silva 1 Michael Poss 2
2 MAORE - Méthodes Algorithmes pour l'Ordonnancement et les Réseaux
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In this work we consider the airline fleet assignment problem and we experiment with a robust solution where passenger demand is uncertain. To mitigate conservativeness of the classical robust optimization we consider a two-stage distributionally robust objective formulation. Our main contribution with respect to the airline fleet management problem literature lies in the modeling characteristics of our proposal. We benchmark against current deterministic and robust fleet assignment formulations and verify solution performance results through simulation.
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INOC2019 66-71.pdf
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Marco Silva, Michael Poss. Distributionally robust airline fleet assignment problem. INOC: International European Network Conference, Jun 2019, Avignon, France. pp.66-71, ⟨10.5441/002/inoc.2019.13⟩. ⟨lirmm-02194250⟩



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