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An option-based revenue management procedure for strategic airline alliances

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  • Graf, M.
  • Kimms, A.

Abstract

An airline has to decide whether to accept an incoming customer request for a seat in the airplane or to reject it in hope that another customer will request the seat later at a higher price. Capacity control, as one of the instruments of revenue management, gives a solution to this decision problem. In the presence of strategic alliances capacity control changes. For the case of two airlines in the alliance and a single flight leg we propose an option-based capacity control process. The determination of booking limits for capacity control is done with real options. A simulation model is introduced to evaluate the booking process of the partner airlines within the strategic alliance, considering the option-based procedure. In an iterative process the booking limits are improved with simulation-based optimization. The results of the option-based procedure will be compared with the results of the simulation-based optimization, the results of a first-come-first-served (FCFS) approach and ex post optimal solutions.

Suggested Citation

  • Graf, M. & Kimms, A., 2011. "An option-based revenue management procedure for strategic airline alliances," European Journal of Operational Research, Elsevier, vol. 215(2), pages 459-469, December.
  • Handle: RePEc:eee:ejores:v:215:y:2011:i:2:p:459-469
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    References listed on IDEAS

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    1. Jan K. Brueckner, 2003. "International Airfares in the Age of Alliances: The Effects of Codesharing and Antitrust Immunity," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 105-118, February.
    2. de Boer, Sanne V. & Freling, Richard & Piersma, Nanda, 2002. "Mathematical programming for network revenue management revisited," European Journal of Operational Research, Elsevier, vol. 137(1), pages 72-92, February.
    3. Klein, Robert, 2005. "Revenue Management : Grundlagen und Methoden der Kapazitätssteuerung," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 25150, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Brueckner, Jan K & Whalen, W Tom, 2000. "The Price Effects of International Airline Alliances," Journal of Law and Economics, University of Chicago Press, vol. 43(2), pages 503-545, October.
    5. Geske, Robert, 1979. "The valuation of compound options," Journal of Financial Economics, Elsevier, vol. 7(1), pages 63-81, March.
    6. Oum, Tae Hoon & Park, Jong-Hun, 1997. "Airline alliances: current status, policy issues, and future directions," Journal of Air Transport Management, Elsevier, vol. 3(3), pages 133-144.
    7. Kimms, A. & Klein, Robert, 2005. "Revenue Management im Branchenvergleich," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 26627, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Citations

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    Cited by:

    1. Li, Tingting & Xie, Jinxing & Lu, Shengmin & Tang, Jiafu, 2016. "Duopoly game of callable products in airline revenue management," European Journal of Operational Research, Elsevier, vol. 254(3), pages 925-934.
    2. Gönsch, Jochen & Koch, Sebastian & Steinhardt, Claudius, 2014. "Revenue management with flexible products: The value of flexibility and its incorporation into DLP-based approaches," International Journal of Production Economics, Elsevier, vol. 153(C), pages 280-294.
    3. Çetiner, D. & Kimms, A., 2013. "Assessing fairness of selfish revenue sharing mechanisms for airline alliances," Omega, Elsevier, vol. 41(4), pages 641-652.
    4. Grauberger, W. & Kimms, A., 2014. "Computing approximate Nash equilibria in general network revenue management games," European Journal of Operational Research, Elsevier, vol. 237(3), pages 1008-1020.
    5. Grauberger, Waldemar & Kimms, Alf, 2016. "Revenue management under horizontal and vertical competition within airline alliances," Omega, Elsevier, vol. 59(PB), pages 228-237.
    6. Kimms, Alf & Çetiner, Demet, 2012. "Approximate nucleolus-based revenue sharing in airline alliances," European Journal of Operational Research, Elsevier, vol. 220(2), pages 510-521.
    7. Graf, M. & Kimms, A., 2013. "Transfer price optimization for option-based airline alliance revenue management," International Journal of Production Economics, Elsevier, vol. 145(1), pages 281-293.
    8. Mohammad Vardi & Ali Salmasnia & Ali Ghorbanian & Hadi Mokhtari, 2016. "A bi-objective airline revenue management problem with possible cancellation," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 8(1), pages 20-37.

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