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Transfer price optimization for option-based airline alliance revenue management

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  • Graf, M.
  • Kimms, A.

Abstract

Recently, an option-based capacity control process for the case of airline alliance revenue management with two partner airlines providing flight tickets on a single flight leg has been proposed. This previous work describes the determination of the booking limits as control variables for the capacity control by means of real options as well as simulation models which consider the option-based process to evaluate the booking process of the partner airlines within the strategic alliance. The booking limits are improved with simulation-based optimization in an iterative process. However, the transfer prices are assumed to be given. In this paper, the optimal transfer prices will be determined by a negotiation process. The results of the option-based capacity control process combined with transfer price optimization will be compared with the results of a first-come-first-served approach, ex post optimal solutions, a blocked seat allotment procedure and a random approach.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:proeco:v:145:y:2013:i:1:p:281-293
    DOI: 10.1016/j.ijpe.2013.04.049
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    References listed on IDEAS

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    Cited by:

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    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. Wei, Yihua & Xu, Chen & Hu, Qiying, 2013. "Transformation of optimization problems in revenue management, queueing system, and supply chain management," International Journal of Production Economics, Elsevier, vol. 146(2), pages 588-597.
    4. Moongil Yoon & Habin Lee, 2021. "Seat assignment problem with the payable up-grade as an ancillary service of airlines," Annals of Operations Research, Springer, vol. 307(1), pages 483-497, December.
    5. Catherine Cleophas & Daniel Kadatz & Sebastian Vock, 2017. "Resilient revenue management: a literature survey of recent theoretical advances," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(5), pages 483-498, October.
    6. 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.
    7. Grauberger, Waldemar & Kimms, Alf, 2016. "Revenue management under horizontal and vertical competition within airline alliances," Omega, Elsevier, vol. 59(PB), pages 228-237.
    8. Chia-Yen Lee & Andrew Johnson, 2015. "Effective production: measuring of the sales effect using data envelopment analysis," Annals of Operations Research, Springer, vol. 235(1), pages 453-486, December.
    9. Clempner, Julio B., 2020. "Penalizing passenger’s transfer time in computing airlines revenue," Omega, Elsevier, vol. 97(C).
    10. Trigeorgis, Lenos & Tsekrekos, Andrianos E., 2018. "Real Options in Operations Research: A Review," European Journal of Operational Research, Elsevier, vol. 270(1), pages 1-24.
    11. W. Grauberger & A. Kimms, 2018. "Computing pure Nash equilibria in network revenue management games," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(2), pages 481-516, March.
    12. Lin, Danping & Lee, Carman Ka Man & Yang, Jilin, 2017. "Air cargo revenue management under buy-back policy," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 53-63.

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