Publication:
A strategic multistage tactical two-stage stochastic optimization model for the airline fleet management problem

Date

2020

Director

Publisher

Elsevier
Acceso abierto / Sarbide irekia
Contribución a congreso / Biltzarrerako ekarpena
Versión publicada / Argitaratu den bertsioa

Project identifier

ES/1PE/TRA2016-76914

Abstract

This work proposes stochastic optimization for the airline fleet management problem, considering uncertainty in the demand, operational costs, and fares. In particular, a multistage tree is proposed, compounded of strategic and tactical nodes. At the former ones, fleet composition decisions are made, while at the latter ones, aircraft assignment decisions are formulated. Computational experiments are based on a small air network with seven strategic nodes and fourteen tactical nodes (i.e., seasons) where two fleet types are available to be included: Airbus 320, and Boeing 737. These results provide the optimal fleet planning and assignment at both strategic and tactical scopes. Finally, it is shown the superior performance of the stochastic version of this problem against the deterministic one.

Description

Trabajo presentado en el 22nd EURO Working Group on Transportation Meeting, EWGT 2019, 18-20 de septiembre de 2019, Barcelona

Keywords

Airline fleet management problem, Stochastic optimization, Mixed integer linear programming

Department

Institute of Smart Cities - ISC

Faculty/School

Degree

Doctorate program

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© 2020 The Authors. This is an open access article under the CC BY-NC-ND license.

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