Atoosa Kasirzadeh, Mohammed Saddoune et François Soumis
Article de revue (2017)
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Abstract
The airline crew scheduling problem has received extensive attention, particularly in the last 60 years. This problem is frequently divided into crew pairing and crew assignment because of its large size and the complex safety agreements and contractual rules. Several solution methodologies have been developed, but many objectives and constraints are treated approximately and research is ongoing. In this paper, we present a comprehensive problem definition for the airline crew scheduling problem, and we review existing problem formulations and solution methodologies. In addition, we formulate the personalized cockpit crew scheduling problem as a set covering problem and we solve it using column generation. We present computational results for real data from a major US carrier, and we describe the data sets (available on the internet) in detail to establish a basis for future research.
Mots clés
| Département: | Département de mathématiques et de génie industriel |
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| Centre de recherche: | GERAD - Groupe d'études et de recherche en analyse des décisions |
| Organismes subventionnaires: | NSERC, AD OPT |
| URL de PolyPublie: | https://publications.polymtl.ca/38358/ |
| Titre de la revue: | EURO Journal on Transportation and Logistics (vol. 6, no 2) |
| Maison d'édition: | Springer |
| DOI: | 10.1007/s13676-015-0080-x |
| URL officielle: | https://doi.org/10.1007/s13676-015-0080-x |
| Date du dépôt: | 18 avr. 2023 15:04 |
| Dernière modification: | 12 nov. 2025 12:26 |
| Citer en APA 7: | Kasirzadeh, A., Saddoune, M., & Soumis, F. (2017). Airline crew scheduling: models, algorithms, and data sets. EURO Journal on Transportation and Logistics, 6(2), 111-137. https://doi.org/10.1007/s13676-015-0080-x |
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