An online optimization-based procedure for the assignment of airplane seats
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Cita com:
hdl:2117/343668
Tipus de documentArticle
Data publicació2021
EditorSpringer
Condicions d'accésAccés obert
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Abstract
Due to the large number of air flights these days, all procedures involved
in their operational management should be carefully optimized. This work presents
a novel approach to the seat assignment problem, which focuses on deciding where
to seat the passengers of different online purchases. This problem is currently solved
by most airlines with a set of simple pre-defined rules that do not take into account
future sales. Instead, the approach in this work is based on solving an integer multi-
commodity network flow problem, where different commodities are associated with
expected future demands of different types of passengers. One feature of the devel-
oped optimization model is that it has to be solved online (that is, in real-time), thus
it must be both effective and fast, which prevented the use of more sophisticated
(but also more time consuming, as it was experimentally observed) models based on
stochastic programming. Using a real database of flights by Vueling Airlines S.A., we
generated a set of synthetic online purchases simulating a pseudo-real flight. Apply-
ing our approach to this synthetic data, we observed that (1) the optimization model
could be satisfactorily solved in real-time using the state-of-the-art CPLEX solver;
(2) and the seat assignment obtained was of higher quality than that obtained by the
simple pre-defined rules used by airlines.
Descripció
The final publication is available at link.springer.com
CitacióCastro, J.; Sarachaga, F. An online optimization-based procedure for the assignment of airplane seats. "TOP", 2021, vol. 29, p. 204-247.
ISSN1134-5764
Versió de l'editorhttps://link.springer.com/article/10.1007%2Fs11750-020-00579-6
Altres identificadorshttp://www-eio.upc.edu/~jcastro/publications/reports/dr2020-02.pdf
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