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A bi-objective approach for scheduling ground-handling vehicles in airports
Abstract : In the present paper, we propose a new approach for scheduling ground-handling vehicles, tackling the problem with a global perspective. Preparing an aircraft for its next flight requires a set of interrelated services involving different types of vehicles. Planning decisions concerning each resource affect the scheduling of the other activities and the performance of the other resources. Considering the different operations and vehicles instead of scheduling each resource in isolation allows integrating decisions and contributing to the optimization of the overall ground-handling process. This goal is defined through two objectives: (i) minimizing the waiting time before an operation starts and the total reduction of corresponding time windows and (ii) minimizing the total completion time of the turnarounds. We combine different technologies and techniques to solve the problem efficiently. A new method to address this bi-objective optimization problem is also proposed. The approach has been tested using real data from two Spanish airports, thereby obtaining different solutions that represent a trade-off between both objectives. Experimental results permit inferring interesting criteria on how to optimize each resource, considering the effect on other operations. This outcome leads to more robust global solutions and to savings in resources utilization.
Littérature citée [65 références]
https://hal-enac.archives-ouvertes.fr/hal-01819078
Contributeur : Laurence Porte Connectez-vous pour contacter le contributeur
Soumis le : mardi 19 juin 2018 - 23:21:42
Dernière modification le : mercredi 3 novembre 2021 - 08:07:38
Archivage à long terme le : : mardi 25 septembre 2018 - 13:41:15
Contributeur : Laurence Porte Connectez-vous pour contacter le contributeur
Soumis le : mardi 19 juin 2018 - 23:21:42
Dernière modification le : mercredi 3 novembre 2021 - 08:07:38
Archivage à long terme le : : mardi 25 septembre 2018 - 13:41:15
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Padron_et_al_COR[1].pdf
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