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Disruption management in flight gate scheduling

Author

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  • Ulrich Dorndorf
  • Florian Jaehn
  • Chen Lin
  • Hui Ma
  • Erwin Pesch

Abstract

This paper introduces models of robustness in flight gate assignments at airports. We briefly repeat the general flight gate assignment problem and disruptions occurring in airline scheduling. Recovery strategies and robust scheduling are surveyed as the main methods in disruption management. We present a non‐robust flight gate assignment model and incorporate two approaches of robustness.

Suggested Citation

  • Ulrich Dorndorf & Florian Jaehn & Chen Lin & Hui Ma & Erwin Pesch, 2007. "Disruption management in flight gate scheduling," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 61(1), pages 92-114, February.
    • Handle: RePEc:bla:stanee:v:61:y:2007:i:1:p:92-114
    DOI: 10.1111/j.1467-9574.2007.00361.x
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    References listed on IDEAS

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    1. Dorndorf, Ulrich, 2002. "Project scheduling with time windows: from theory to applications," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 3401, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Samà, Marcella & D’Ariano, Andrea & D’Ariano, Paolo & Pacciarelli, Dario, 2017. "Scheduling models for optimal aircraft traffic control at busy airports: Tardiness, priorities, equity and violations considerations," Omega, Elsevier, vol. 67(C), pages 81-98.
    2. Ulrich Dorndorf & Florian Jaehn & Erwin Pesch, 2012. "Flight gate scheduling with respect to a reference schedule," Annals of Operations Research, Springer, vol. 194(1), pages 177-187, April.
    3. Daş, Gülesin Sena & Gzara, Fatma & Stützle, Thomas, 2020. "A review on airport gate assignment problems: Single versus multi objective approaches," Omega, Elsevier, vol. 92(C).
    4. Şeker, Merve & Noyan, Nilay, 2012. "Stochastic optimization models for the airport gate assignment problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 438-459.

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