Revenue Management Under a General Discrete Choice Model of Consumer Behavior

References

• Algers S., Besser M. Modelling choice of flight and booking class—A study using stated preference and revealed preference data. Internat. J. Services Tech. Management (2001) 2:28–45Crossref, Google Scholar
• Andersson S. E. Passenger choice analysis for seat capacity control: A pilot project in Scandinavian airlines. Internat. Trans. Oper. Res. (1998) 5:471–486Crossref, Google Scholar
• Barnhart C., Talluri K. T., ReVelle C., McGarrity A. Airline operations research. Systems for Civil and Environmental Engineering: An Advanced Text Book (1996) (John Wiley and Sons, New York) Google Scholar
• Bellman R.Applied Dynamic Programming (1957) (Princeton University Press, Princeton, NJ) Google Scholar
• Belobaba P. P.Air travel demand and airline seat inventory management (1987a) . Ph.D. thesis, Cambridge, MA, Massachusetts Institute of TechnologyGoogle Scholar
• Belobaba P. P. Airline yield management: An overview of seat inventory control. Transportation Sci. (1987b) 21:63–73Link, Google Scholar
• Belobaba P. P. Application of a probabilistic decision model to airline seat inventory control. Oper. Res. (1989) 37:183–197Link, Google Scholar
• Belobaba P. P., Weatherford L. Comparing decision rules that incorporate customer diversion in perishable asset revenue management situations. Decision Sci. (1996) 27(2):343–363Crossref, Google Scholar
• Belobaba P. P., Hopperstad C. Boeing/MIT simulation study: PODS results update. 1999 AGIFORS Reservations Yield Management Study Group Sympos (1999) (London, U.K.)Google Scholar
• Ben-Akiva M., Lerman S. R.Discrete Choice Analysis (1985) (MIT Press, Cambridge, MA) Google Scholar
• Bertsekas D. P.Dynamic Programming and Optimal Control (1995) 1(Athena Scientific, Belmont, MA) Google Scholar
• Bertsimas D. J., Tsitsiklis J. N.Introduction to Linear Optimization (1997) (Athena Scientific, Belmont, MA) Google Scholar
• Bitran G., Caldentey R., Mondschein S. Coordinating clearance markdown sales of seasonal products in retail chains. Oper. Res. (1998) 46:609–624Link, Google Scholar
• Brumelle S. L., McGill J. I. Airline seat allocation with multiple nested fare classes. Oper. Res. (1993) 41:127–137Link, Google Scholar
• Brumelle S. L., McGill J. I., Oum T. H., Sawaki K., Tretheway M. W. Allocation of airline seats between stochastically dependent demand. Transportation Sci. (1990) 24:183–192Link, Google Scholar
• Cooper W. Asymptotic behavior of some revenue management policies. (2000) . Working paper, University of Minnesota, Minneapolis, MN.Google Scholar
• Crew M. A., Kleindorfer P. R. Peak load pricing with a diverse technology. Bell J. Econom. (1976) 7:207–231Crossref, Google Scholar
• Curry R. E. Optimal airline seat allocation with fare classes nested by origins and destinations. Transportation Sci. (1989) 24:193–204Link, Google Scholar
• Dempster A. P., Laird N. M., Rubin D. B. Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Statist. Soc. B. (1977) 39:1–38Google Scholar
• Dror M., Trudeau P., Ladany S. P. Network models for seat allocation of flights. Transportation Res. (1988) 22B:239–250Crossref, Google Scholar
• Feng Y., Gallego G. Perishable asset revenue management with Markovian time dependent demand intensities. Management Sci. (2000) 46(7):941–956Link, Google Scholar
• Gallego G., van Ryzin G. Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management Sci. (1994) 40:999–1020Link, Google Scholar
• Gallego G., van Ryzin G. A multi-product, multi-resource pricing problem and its applications to network yield management. Oper. Res. (1997) 45:24–41Link, Google Scholar
• Gerchak Y., Parlar M., Ye T. K. M. Optimal rationing policies and production quantities for products with several demand classes. Canadian J. Admin. Sci. (1985) 2:161–176Crossref, Google Scholar
• Glover F., Glover R., Lorenzo J., McMillan C. The passengermix problem in the scheduled airlines. Interfaces (1982) 12:73–79Link, Google Scholar
• Iyengar S. S., Lepper M. When choice is demotivating: Can one desire too much of a good thing? J. Personality Soc. Psych. (2000) 76:995–1006Crossref, Google Scholar
• Kleywegt A. J., Papastavrou J. D. The dynamic and stochastic knapsack problem. Oper. Res. (1998) 46:17–35Link, Google Scholar
• Lautenbacher C. J., Stidham S. J. The underlying markov decision process in the single-leg airline yield management problem. Transportation Sci. (1999) 33:136–146Link, Google Scholar
• Lee T. C., Hersh M. A model for dynamic airline seat inventory control with multiple seat bookings. Transportation Sci. (1993) 27:252–265Link, Google Scholar
• Liang Y. Solution to the continuous time dynamic yield management model. Transportation Sci. (1999) 33:117–123Link, Google Scholar
• Littlewood K. Forecasting and control of passengers. 12th AGIFORS Sympos. Proc. (1972) 95–128Google Scholar
• Marshall A. W., Olkin I.Inequalities: Theory of Majorization and Its Application (1979) (Academic Press, New York) Google Scholar
• McFadden D., Zarembka P. Conditional logit analysis of qualitative choice behavior. Frontiers in Econometrics (1974) (Academic Press, New York) 105–142Google Scholar
• McGill J. I. Censored regression analysis of multiclass demand data subject to joint capacity constraints. Ann. Oper. Res. (1995) 60:209–240Crossref, Google Scholar
• McGill J., van Ryzin G. J. Revenue management: Research overview and prospects. Transportation Sci. (1999) 33:233–256Link, Google Scholar
• McLachlan G., Krishnan T.The EM Algorithm and Extensions (1996) (John Wiley & Sons, New York) Google Scholar
• Phillips R. State-contingent airline yield management. (1994) INFORMS Annual MeetingDetroit, MI.Google Scholar
• Robinson L. W. Optimal and approximate control policies for airline booking with sequential nonmonotonic fare classes. Oper. Res. (1991) 43:252–263Link, Google Scholar
• Simpson R. W. Using network flow techniques to find shadow prices for market and seat inventory control. (1989) . MIT Flight Transportation Laboratory Memorandum M89-1, Cambridge, MA.Google Scholar
• Smith B., Leimkuhler J., Darrow R., Samuels J. Yield management at American Airlines. Interfaces (1992) 22:8–31Link, Google Scholar
• Stone R., Diamond M. Optimal inventory control for a single flight leg. (1992) . Working paper, Operations Research Division, Northwest Airlines, Minneapolis, MN.Google Scholar
• Subramanian C., Lautenbacher J., Stidham S. J. Yield management with overbooking, cancellations and no shows. Transportation Sci. (1999) 34:147–167Link, Google Scholar
• Talluri K. T. Revenue management on a line network. (1996) . Working paper, Universitat Pompeu Fabra, Barcelona, Spain.Google Scholar
• Talluri K. T., van Ryzin G. J. An analysis of bid-price controls for network revenue management. Management Sci. (1998) 44:1577–1593Link, Google Scholar
• Talluri K., van Ryzin G. J. A randomized linear programming method for computing network bid prices. Transportation Sci. (1999) 33:207–216Link, Google Scholar
• Williamson E. L.Comparison of optimization techniques for origin-destination seat inventory control (1988) . Master's thesis, Flight Transportation Laboratory, Massachusetts Institute of Technology, Cambridge, MAGoogle Scholar
• Williamson E. L.Airline network seat inventory control: Methodologies and revenue impacts (1992) . Ph.D. thesis, Flight Transportation Laboratory, Massachusetts Institute of Technology, Cambridge, MAGoogle Scholar
• Wollmer R. D. An airline seat management model for a single leg route when lower fare classes book first. Oper. Res. (1992) 40:26–37Link, Google Scholar
• Wu C. F. J. On the convergence properties of the EM algorithm. Ann. Statist. (1983) 11:95–103Crossref, Google Scholar
• Young Y., Van Slyke R.Stochastic knapsack models of yield management (1994) . Technical report 94–76, Brooklyn Polytechnic University, Brooklyn, NY.Google Scholar
• Zhao W.Dynamic and static yield management models (1999) . Ph.D. thesis, Operations and Information Management Department, The Wharton School, University of Pennsylvania, Philadelphia, PAGoogle Scholar