Abstract : The following paper presents an innovative approach for dealing with complex capacity problems in aviation. We introduce a sliding window framework composed by an optimization method with a simulation component. By applying this framework in diverse problems that are dependent on time it is possible to find feasible and close-to-reality solutions in shorter time than the ones that could be achieved by evaluating the problem in the complete time-horizon. The framework can be applied to solve diverse problems in aviation or similar industries. We exemplify the approach with a model of Paris Charles de Gaulle Airport in France.
https://hal-enac.archives-ouvertes.fr/hal-02013194 Contributeur : Laurence PorteConnectez-vous pour contacter le contributeur Soumis le : mardi 19 mars 2019 - 13:04:29 Dernière modification le : mercredi 3 novembre 2021 - 06:41:12 Archivage à long terme le : : jeudi 20 juin 2019 - 14:10:34
Paolo Maria Scala, Miguel Mujica, Cheng-Leng Wu, Daniel Delahaye. Sim-Opt in the loop: algorithmic framework for solving airport capacity problems. WSC 2018, Winter Simulation Conference, Dec 2018, Gothenburg, Sweden. pp 2261-2272. ⟨hal-02013194⟩