Resilient airline scheduling to minimize delay risks

Airlines tend to design their flights schedules with the primary concern of the minimization of operational costs. However, the recently emerging idea of resilient scheduling defined as staying operational in case of unexpected disruptions and adaptability should be of great importance for airlines as well due to the high opportunity costs caused by the flight cancellations and passenger inconvenience caused by delays in the schedule. In this study, the authors integrate resilient airline schedule design, aircraft routing and fleet assignment problems with uncertain non-cruise times and controllable cruise times. The authors follow a data-driven method to estimate flight delay probabilities to calculate the airport congestion coefficients required for the probability distributions of non-cruise time random variables. The authors formulate the problem as a bi-criteria nonlinear mixed integer mathematical model with chance constraints. The nonlinearity caused by the fuel consumption and CO₂ emission function associated with the controllable cruise times in the authors' first objective is handled by second order conic inequalities. The authors minimize the total absolute deviation of the aircraft path variability’s from the average in the authors' second objective to generate balanced schedules in terms of resilience. The authors compare the recovery performances of their proposed schedules to the minimum cost schedules by a scenario-based posterior analysis.

• Record URL:
  • https://doi.org/10.1016/j.trc.2022.103734
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S0968090X22001693
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • © 2022 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Şi̇mşek, Deni̇z
  • 0000-0002-9807-0458
  • Aktürk, M Seli̇m
  • 0000-0003-0515-1644
• Publication Date: 2022-8

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: 103734
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 141
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Airlines; Flight delays; Risk; Routing; Scheduling
• Subject Areas: Aviation; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01848928
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 21 2022 10:29AM