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overview of OR techniques for airline revenue management

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  • Kevin Pak
  • Nanda Piersma

Abstract

With the increasing interest in decision support systems and the continuous advance of computer science, revenue management is a discipline which has received a great deal of interest in recent years. Although revenue management has seen many new applications throughout the years, the main focus of research continues to be the airline industry. Ever since LITTLEWOOD (1972) first proposed a solution method for the airline revenue management problem, a variety of solution methods have been introduced. In this paper we give an overview of the solution methods presented throughout the literature.

Suggested Citation

  • Kevin Pak & Nanda Piersma, 2002. "overview of OR techniques for airline revenue management," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 56(4), pages 479-495, November.
    • Handle: RePEc:bla:stanee:v:56:y:2002:i:4:p:479-495
    DOI: 10.1111/1467-9574.00213
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    Cited by:

    1. Irene Ng & Nick K.T. Yip, 2009. "Mechanism design in an integrated approach towards revenue management: the case of Empress Cruise Lines," The Service Industries Journal, Taylor & Francis Journals, vol. 31(3), pages 469-482, February.
    2. Haerian, Laila & Homem-de-Mello, Tito & Mount-Campbell, Clark A., 2006. "Modeling revenue yield of reservation systems that use nested capacity protection strategies," International Journal of Production Economics, Elsevier, vol. 104(2), pages 340-353, December.
    3. José Guadix & Luis Onieva & Jesús Muñuzuri & Pablo Cortés, 2010. "An overview of revenue management in service industries: an application to car parks," The Service Industries Journal, Taylor & Francis Journals, vol. 31(1), pages 91-105, February.
    4. Andreea Popescu & Earl Barnes & Ellis Johnson & Pinar Keskinocak, 2013. "Bid Prices When Demand Is a Mix of Individual and Batch Bookings," Transportation Science, INFORMS, vol. 47(2), pages 198-213, May.
    5. Daniel Y. Mo & Stephen C. H. Ng & David Tai, 2019. "Revamping NetApp’s Service Parts Operations by Process Optimization," Service Science, INFORMS, vol. 49(6), pages 407-421, November.
    6. Zhao, Y. & Triantis, K. & Teodorovic, D. & Edara, P., 2010. "A travel demand management strategy: The downtown space reservation system," European Journal of Operational Research, Elsevier, vol. 205(3), pages 584-594, September.
    7. Syed Asif Raza & Rafi Ashrafi & Ali Akgunduz, 2020. "A bibliometric analysis of revenue management in airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 436-465, December.
    8. Modarres, Mohammad & Sharifyazdi, Mehdi, 2009. "Revenue management approach to stochastic capacity allocation problem," European Journal of Operational Research, Elsevier, vol. 192(2), pages 442-459, January.
    9. Resul Aydemir & Mehmet Melih Değirmenci & Abdullah Bilgin, 2023. "Estimation of passenger sell-up rates in airline revenue management by considering the effect of fare class availability," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(6), pages 501-513, December.
    10. Ahlert, Klaus-Henning & Corsten, Hans & Gössinger, Ralf, 2009. "Capacity management in order-driven production networks--A flexibility-oriented approach to determine the size of a network capacity pool," International Journal of Production Economics, Elsevier, vol. 118(2), pages 430-441, April.
    11. Meng, Qiang & Zhao, Hui & Wang, Yadong, 2019. "Revenue management for container liner shipping services: Critical review and future research directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 280-292.
    12. Hung, Yi-Feng & Chen, Chien-Hao, 2013. "An effective dynamic decision policy for the revenue management of an airline flight," International Journal of Production Economics, Elsevier, vol. 144(2), pages 440-450.
    13. Valerio Lacagnina & Davide Provenzano, 2016. "An integrated fuzzy-stochastic model for revenue management," Tourism Economics, , vol. 22(4), pages 779-792, August.

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