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Integrated aircraft and passenger recovery with cruise time controllability

Author

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  • Uğur Arıkan

    (Middle East Technical University)

  • Sinan Gürel

    (Middle East Technical University)

  • M. Selim Aktürk

    (Bilkent University)

Abstract

Disruptions in airline operations can result in infeasibilities in aircraft and passenger schedules. Airlines typically recover aircraft schedules and disruptions in passenger itineraries sequentially. However, passengers are severely affected by disruptions and recovery decisions. In this paper, we present a mathematical formulation for the integrated aircraft and passenger recovery problem that considers aircraft and passenger related costs simultaneously. Using the superimposition of aircraft and passenger itinerary networks, passengers are explicitly modeled in order to use realistic passenger related costs. In addition to the common routing recovery actions, we integrate several passenger recovery actions and cruise speed control in our solution approach. Cruise speed control is a very beneficial action for mitigating delays. On the other hand, it adds complexity to the problem due to the nonlinearity in fuel cost function. The problem is formulated as a mixed integer nonlinear programming (MINLP) model. We show that the problem can be reformulated as conic quadratic mixed integer programming (CQMIP) problem which can be solved with commercial optimization software such as IBM ILOG CPLEX. Our computational experiments have shown that we could handle several simultaneous disruptions optimally on a four-hub network of a major U.S. airline within less than a minute on the average. We conclude that proposed approach is able to find optimal tradeoff between operating and passenger-related costs in real time.

Suggested Citation

  • Uğur Arıkan & Sinan Gürel & M. Selim Aktürk, 2016. "Integrated aircraft and passenger recovery with cruise time controllability," Annals of Operations Research, Springer, vol. 236(2), pages 295-317, January.
    • Handle: RePEc:spr:annopr:v:236:y:2016:i:2:d:10.1007_s10479-013-1424-2
    DOI: 10.1007/s10479-013-1424-2
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    References listed on IDEAS

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    1. AhmadBeygi, Shervin & Cohn, Amy & Guan, Yihan & Belobaba, Peter, 2008. "Analysis of the potential for delay propagation in passenger airline networks," Journal of Air Transport Management, Elsevier, vol. 14(5), pages 221-236.
    2. Kohl, Niklas & Larsen, Allan & Larsen, Jesper & Ross, Alex & Tiourine, Sergey, 2007. "Airline disruption management—Perspectives, experiences and outlook," Journal of Air Transport Management, Elsevier, vol. 13(3), pages 149-162.
    3. Cook, Andrew & Tanner, Graham & Williams, Victoria & Meise, Gerhard, 2009. "Dynamic cost indexing – Managing airline delay costs," Journal of Air Transport Management, Elsevier, vol. 15(1), pages 26-35.
    4. Shan Lan & John-Paul Clarke & Cynthia Barnhart, 2006. "Planning for Robust Airline Operations: Optimizing Aircraft Routings and Flight Departure Times to Minimize Passenger Disruptions," Transportation Science, INFORMS, vol. 40(1), pages 15-28, February.
    5. Ahmad I. Z. Jarrah & Gang Yu & Nirup Krishnamurthy & Ananda Rakshit, 1993. "A Decision Support Framework for Airline Flight Cancellations and Delays," Transportation Science, INFORMS, vol. 27(3), pages 266-280, August.
    6. Stojkovic, Goran & Soumis, François & Desrosiers, Jacques & Solomon, Marius M., 2002. "An optimization model for a real-time flight scheduling problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(9), pages 779-788, November.
    7. Jon D. Petersen & Gustaf Sölveling & John-Paul Clarke & Ellis L. Johnson & Sergey Shebalov, 2012. "An Optimization Approach to Airline Integrated Recovery," Transportation Science, INFORMS, vol. 46(4), pages 482-500, November.
    8. Jay M. Rosenberger & Ellis L. Johnson & George L. Nemhauser, 2003. "Rerouting Aircraft for Airline Recovery," Transportation Science, INFORMS, vol. 37(4), pages 408-421, November.
    9. Cynthia Barnhart & Amy Cohn, 2004. "Airline Schedule Planning: Accomplishments and Opportunities," Manufacturing & Service Operations Management, INFORMS, vol. 6(1), pages 3-22, November.
    10. Ram Gopalan & Kalyan Talluri, 1998. "Mathematical models in airline schedule planning: A survey," Annals of Operations Research, Springer, vol. 76(0), pages 155-185, January.
    11. Niloofar Jafari & Seyed Hessameddin Zegordi, 2010. "The airline perturbation problem: considering disrupted passengers," Transportation Planning and Technology, Taylor & Francis Journals, vol. 33(2), pages 203-220, January.
    12. Jay Graham, R. & Garrow, Laurie A. & Leonard, John D., 2010. "Business travelers’ ticketing, refund, and exchange behavior," Journal of Air Transport Management, Elsevier, vol. 16(4), pages 196-201.
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