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A bi-objective airline revenue management problem with possible cancellation

Author

Listed:
  • Mohammad Vardi
  • Ali Salmasnia
  • Ali Ghorbanian
  • Hadi Mokhtari

Abstract

The optimal allocation of seat inventory is a well-known problem of airline revenue management in the airline industry. It is usually carried out among fare classes with a known demand distribution for each class with the aim at increasing the efficiency of revenue systems and enhancing customer satisfaction. Furthermore, an important assumption is the issue of cancellation which is very common in the field of airlines. So to avoid having unused seat in a flight, overbooking technique is used. During last years, different approaches have been proposed for addressing this problem, but most of them only considered revenue to be maximised. In this paper, an optimisation approach based on Taguchi design of experiment and COPRAS decision-making method is proposed. The suggested method not only maximises total revenue and customer satisfaction simultaneously, but also mitigates the effects of nuisance factors on system by minimising the variance of two objectives. Experimental results on a standard example show the effectiveness of the proposed method.

Suggested Citation

  • 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.
    • Handle: RePEc:ids:injams:v:8:y:2016:i:1:p:20-37
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    References listed on IDEAS

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    1. Meissner, Joern & Strauss, Arne, 2012. "Network revenue management with inventory-sensitive bid prices and customer choice," European Journal of Operational Research, Elsevier, vol. 216(2), pages 459-468.
    2. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2007. "Extended VIKOR method in comparison with outranking methods," European Journal of Operational Research, Elsevier, vol. 178(2), pages 514-529, April.
    3. Kalyan Talluri & Garrett van Ryzin, 1998. "An Analysis of Bid-Price Controls for Network Revenue Management," Management Science, INFORMS, vol. 44(11-Part-1), pages 1577-1593, November.
    4. Topaloglu, Huseyin, 2009. "On the asymptotic optimality of the randomized linear program for network revenue management," European Journal of Operational Research, Elsevier, vol. 197(3), pages 884-896, September.
    5. Kalyan Talluri & Garrett van Ryzin, 1999. "A Randomized Linear Programming Method for Computing Network Bid Prices," Transportation Science, INFORMS, vol. 33(2), pages 207-216, May.
    6. Gao, Jiti & Lu, Zudi & Tjostheim, Dag, 2003. "Semiparametric spatial regression: theory and practice," MPRA Paper 11991, University Library of Munich, Germany, revised Oct 2006.
    7. 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.
    8. Klein, Robert & Petrick, Anita, 2003. "Revenue Management : eine weitere Erfolgsstory des Operations Research," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 20672, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
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    Cited by:

    1. Ali Salmasnia & Hamid Daliri & Ali Ghorbanian & Hadi Mokhtari, 2018. "A statistical analysis and simulation based approach to an uncertain supplier selection problem with discount option," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(6), pages 1250-1259, December.

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