Distributionally robust airline fleet assignment problem - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2019

Distributionally robust airline fleet assignment problem

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.
Fichier principal
Vignette du fichier
INOC2019 66-71.pdf (635.87 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

lirmm-02194250 , version 1 (25-07-2019)

Licence

Identifiers

Cite

Marco Graciotto Silva, Michael Poss. Distributionally robust airline fleet assignment problem. INOC 2019 - 9th International Network Optimization Conference, Jun 2019, Avignon, France. pp.66-71, ⟨10.5441/002/inoc.2019.13⟩. ⟨lirmm-02194250⟩
147 View
138 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More