Flight scheduling and fleet assignment are important steps of an airline planning process. In light of the reciprocal relationship between air transport supply and demand, a key element of these models is to devise effective methods to both incorporating estimation of total market demand and allocating passengers over the available itineraries in a specific market. In this paper, we present a novel mixed integer nonlinear flight scheduling and fleet assignment optimization model wherein air travel demand generation and allocation are simultaneously and consistently endogenized. Using a nested logit formulation, we jointly model competition among air travel itineraries and appraise the contribution of specific itinerary attributes to demand generation, therefore yielding a more comprehensive and explicit representation of supply-demand interactions. Computational testing based on realistic problem instances reveals that the model can optimize mid-size hub-and-spoke networks within reasonable time. Further analyses illustrate the benefits that can be derived from the application of the proposed approach using real-world data for a major European airline. Results demonstrate that the proposed approach can significantly enhance operating profits by up to 6.9% and better reveal opportunities for demand stimulation against a conventional approach using inelastic trip generation.

(2021). Integrated flight scheduling and fleet assignment with improved supply-demand interactions [journal article - articolo]. In TRANSPORTATION RESEARCH PART B-METHODOLOGICAL. Retrieved from http://hdl.handle.net/10446/203676

Integrated flight scheduling and fleet assignment with improved supply-demand interactions

Birolini, Sebastian;Cattaneo, Mattia;Malighetti, Paolo;Paleari, Stefano
2021-01-01

Abstract

Flight scheduling and fleet assignment are important steps of an airline planning process. In light of the reciprocal relationship between air transport supply and demand, a key element of these models is to devise effective methods to both incorporating estimation of total market demand and allocating passengers over the available itineraries in a specific market. In this paper, we present a novel mixed integer nonlinear flight scheduling and fleet assignment optimization model wherein air travel demand generation and allocation are simultaneously and consistently endogenized. Using a nested logit formulation, we jointly model competition among air travel itineraries and appraise the contribution of specific itinerary attributes to demand generation, therefore yielding a more comprehensive and explicit representation of supply-demand interactions. Computational testing based on realistic problem instances reveals that the model can optimize mid-size hub-and-spoke networks within reasonable time. Further analyses illustrate the benefits that can be derived from the application of the proposed approach using real-world data for a major European airline. Results demonstrate that the proposed approach can significantly enhance operating profits by up to 6.9% and better reveal opportunities for demand stimulation against a conventional approach using inelastic trip generation.
articolo
2021
Birolini, Sebastian; Antunes, António Pais; Cattaneo, Mattia; Malighetti, Paolo; Paleari, Stefano
(2021). Integrated flight scheduling and fleet assignment with improved supply-demand interactions [journal article - articolo]. In TRANSPORTATION RESEARCH PART B-METHODOLOGICAL. Retrieved from http://hdl.handle.net/10446/203676
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/203676
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