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Airline crew scheduling: models, algorithms, and data sets

  • Atoosa KasirzadehEmail author
  • Mohammed Saddoune
  • François Soumis
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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.

Keywords

Airline crew scheduling Crew scheduling Crew pairing Crew assignment Personalized crew assignment Column generation Data set 

Mathematics Subject Classification

90Cxx 90B06 90-XX 

Notes

Acknowledgments

This research was supported by the Natural Sciences and Engineering Research Council of Canada and a collaborative R&D grant from AD OPT, a division of Kronos. Thanks are due to the personnel of AD OPT, a division of Kronos, for providing the data sets and the GENCOL software library. The authors are thankful to Frédéric Quesnel for his help in preparing the data sets and generators. The authors are grateful to the editor and two anonymous reviewers for their valuable comments.

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Copyright information

© Springer-Verlag Berlin Heidelberg and EURO - The Association of European Operational Research Societies 2015

Authors and Affiliations

  • Atoosa Kasirzadeh
    • 1
    Email author
  • Mohammed Saddoune
    • 1
    • 2
  • François Soumis
    • 1
  1. 1.Department of Mathematics and Industrial EngineeringGERAD and École Polytechnique de MontréalMontrealCanada
  2. 2.Université Hassan II, Faculté des Sciences et Techniques de MohammediaMohammediaMorocco

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