Revenue Management with Limited Demand Information

Published Online:https://doi.org/10.1287/mnsc.1080.0859

References

  • Albers S. Online algorithms: A survey. Math. Programming, Ser. B (2003) 97:3–26CrossrefGoogle Scholar
  • Ball M. O., Queyranne M. Toward robust revenue management: Competitive analysis of online booking. Oper. Res. (2008) . ForthcomingGoogle Scholar
  • Belobaba P. P. Airline yield management: An overview of seat inventory control. Trans. Sci. (1987) 21:63–73LinkGoogle Scholar
  • Belobaba P. P. Application of a probabilistic decision model to airline seat inventory control. Oper. Res. (1989) 37:183–197LinkGoogle Scholar
  • Birbil Ş. I., Frenk J. B. G., Gromicho J. A. S., Zhang S. The role of robust optimization in single-leg airline revenue management. Management Sci. (2008) . ForthcomingGoogle Scholar
  • Brumelle S. L., McGill J. I. Airline seat allocation with multiple nested fare classes. Oper. Res. (1993) 41:127–137LinkGoogle Scholar
  • Brumelle S., Walczak D. Dynamic airline revenue management with multiple semi-Markov demand. Oper. Res. (2003) 51:137–148LinkGoogle Scholar
  • Curry R. E. Optimal airline seat allocation with multiple nested fare classes. Trans. Sci. (1990) 24:193–204LinkGoogle Scholar
  • Eren S., Maglaras C. Revenue management heuristics under limited market information: A maximum entropy approach. 6th Ann. INFORMS Revenue Management Conf. (2006) June 5–6New YorkGoogle Scholar
  • Farias V., Van Roy B. Dynamic pricing with a prior on market response. 6th Ann. INFORMS Revenue Management Conf. (2006) June 5–6New YorkGoogle Scholar
  • Feng Y., Xiao B. Maximizing revenues of perishable assets with a risk factor. Oper. Res. (1999) 47:337–341LinkGoogle Scholar
  • hotel-online.com Choice Hotels International signed 276 new franchise contracts in the first six months of 2005, up 19% over the same period in 2004. (2005) . http://www.hotel-online.com/News/PR2005_3rd/July05_ChoiceMidYear.htmlGoogle Scholar
  • Huh T., Rusmevichientong P. An adaptive algorithm for multiple-fare-class capacity control problems. 6th Ann. INFORMS Revenue Management Conf. (2006) June 5–6New YorkGoogle Scholar
  • Kouvelis P., Yu G.Robust Discrete Optimization and Its Applications (1997) 14(Kluwer Academic Publishers, Boston) CrossrefGoogle Scholar
  • Kunnumkal S., Topaloglu H. A stochastic approximation method for the revenue management problem on a single flight leg with discrete demand distributions. (2007) . Working paper, School of Operations Research and Industrial Engineering, Cornell University, Ithaca, NYGoogle Scholar
  • Lautenbacher C. J., Stidham S. The underlying Markov decision process in the single-leg airline yield management problem. Trans. Sci. (1999) 33:136–146LinkGoogle Scholar
  • Lahoti A. Why CEOs should care about revenue management. OR/MS Today (2002) February). http://www.lionhrtpub.com/orms-2-02/rm.htmlGoogle Scholar
  • Lee T. C., Hersh M. A model for dynamic airline seat inventory control with multiple seat bookings. Trans. Sci. (1993) 27:252–265LinkGoogle Scholar
  • Lennon J. J. Revenue management and customer forecasts: A bridge too far for the UK visitor attractions sector? J. Revenue Pricing Management (2004) 2:338–352CrossrefGoogle Scholar
  • Lim A. E. B., Shanthikumar J. G. Relative entropy, exponential utility, and robust dynamic pricing. Oper. Res. (2007) 55:198–214LinkGoogle Scholar
  • Littlewood K. Forecasting and control of passengers. 12th AGIFORS Sympos. Proc. (1972) 95–128Google Scholar
  • McGill J., van Ryzin G. Revenue management: Research overview and prospects. Trans. Sci. (1999) 33:233–256LinkGoogle Scholar
  • Perakis G., Roels G. Robust controls for network revenue management. (2006) . Working paper, UCLA, Anderson School of Management, Los AngelesGoogle Scholar
  • Robinson L. W. Optimal and approximate control policies for airline booking with sequential nonmonotonic fare classes. Oper. Res. (1995) 43:252–263LinkGoogle Scholar
  • Rusmevichientong P., Van Roy B., Glynn P. W. A non-parametric approach to multi-product pricing. Oper. Res. (2006) 54:82–98LinkGoogle Scholar
  • Talluri K., van Ryzin G.The Theory and Practice of Revenue Management (2004a) (Kluwer Academic Publishers, Boston) CrossrefGoogle Scholar
  • Talluri K., van Ryzin G. Revenue management under a general discrete choice model of customer behavior. Management Sci. (2004b) 50:15–33LinkGoogle Scholar
  • van Ryzin G. J., McGill J. Revenue management without forecasting or optimization: An adaptive algorithm for determining airline seat protection levels. Management Sci. (2000) 46:760–775LinkGoogle Scholar
  • Weatherford L. R., Pölt S. Better unconstraining of airline demand data in revenue management systems for improved forecast accuracy and greater revenues. J. Revenue Pricing Management (2002) 1:234–254CrossrefGoogle Scholar
  • Wollmer R. D. An airline seat management model for single-leg route when low fare classes book first. Oper. Res. (1992) 40:26–37LinkGoogle Scholar
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