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References
Algers, S. and Besser, M. (2001). Modelling choice of flight and booking class — a study using stated preference and revealed preference data. Intl. J. of Services Technology and Management, 2:28–45.
Andersson, S. E. (1989). Operational planning in airline business — Can science improve efficiency? Experiences from SAS. European Journal of Operations Research, 43:3–12.
Beckman, M. J. and Bobkowski, F. (1958). Airline demand: An analysis of some frequency distributions. Naval Research Quarterly, 43(5):43–51.
Beckmann, M. J. (1958). Decision and team problems in airline reservations. Econometrica, 26:134–145.
Belobaba, P. P. (1987a). Air Travel Demand and Airline Seat Inventory Management. PhD thesis, Flight Transportation Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusettes.
Belobaba, P. P. (1987b). Airline yield management: An overview of seat inventory control. Transportation Science, 21:63–73.
Belobaba, P. P. (1989). Application of a probabilistic decision model to airline seat inventory control. Operations Research, 37:183–197.
Belobaba, P. P. (1992). Optimal vs. heuristic methods for nested seat allocation. Presentation at ORS A/TIMS Joint National Meeting.
Belobaba, P. P. (1998). PODS results update: Impacts of forecasting on O-D control methods. In 1998 AGIFORS Reservations and Yield Management Study Group Symposium, Melborne.
Belobaba, P. P. (2001). Revenue and competitive impacts of O-D control: Summary of PODS results. In First Annual INFORMS Revenue Management Section Meeting, New York.
Belobaba, P. P. and Lee, S. (2000). PODS update: Large network O-D control results. In 2000AGIFORS Reservations and Yield Management Study Group Symposium, New York.
Belobaba, P. P. and Weatherford, L. R. (1996). Comparing decision rules that incorporate customer diversion in perishable asset revenue management situations. Decision Sciences, 27:343–363.
Bertsimas, D. J. and Popescu, I. (2001). Revenue management in a dynamic network environment. Working Paper, Massachusettes Institute of Technology.
Bhatia, A. V. and Parekh, S. C. (1973). Optimal allocation of seats by fare. Presentation to AGIFORS Reservations Study Group, Trans World Airlines.
Bierman Jr., H. and Thomas, J. (1975). Airline overbooking strategies and bumping procedures. Public Policy, 21:601–606.
Bratu, S. (1999). Network value concept in airline revenue management. Master’s thesis, Massachusettes Institute of Technology, Cambridge, Massachusettes. Department of Aeronautics and Astronatics.
Brumelle, S. and Walczak, D. (1997). Dynamic allocation of airline seat inventory with batch arrivals. In 1997 Air Transport Research Group of the WCTR Society Proceedings 3, Vancouver, Faculty of Commerce and Business Administration, University of British Columbia.
Brumelle, S. L. and McGill, J. I. (1993). Airline seat allocation with multiple nested fare classes. Operations Research, 41(1):127–137.
Brumelle, S. L., McGill, J. I., Oum, T. H., Sawaki, K., and Tretheway, M. W. (1990). Allocation of airline seat between stochastically dependent demands. Transportation Science, 24:183–192.
Chatwin, R. E. (1993). Optimal Airline Overbooking. PhD thesis, Stanford University, Palo Alto.
Chatwin, R. E. (1997). Continuous-time airline overbooking with time dependent fares and refunds. Working paper, Applied Decision Analysis, Inc., Menlo Park, California.
Chatwin, R. E. (1999). Mutiperiod airline overbooking with a single fare class. Operations Research, 46:805–819.
Civil Aeronautics Board (1967). Civil Aeronautics Board Economic Regulations Docket 16563. Washington, D.C.
Cooper, W. L. (2000). Asymptotic behavior of some revenue management policies. Working Paper, Univ. of Minnesota.
Cross, R. G. (1997). Revenue Management: Hardcore Tactics for Market Domination. Broadway Books (Bantam, Doubleday, Dell Publishing Group), New York.
Curry, R. E. (1990). Optimal airline seat allocation with fare classes nested by origins and destinations. Transportation Science, 24:193–204.
Curry, R. E. (1992). Real-time revenue management: Bid price strategies for origins/destinations and legs. Scorecard, Aeronomics Inc., Atlanta, 2Q:n.a.
Dror, M., Trudeau, P., and Ladany, S. P. (1988). Network models for seat allocation on flights. Transportation Research, 22B:239–250.
D’Sylva, E. (1982). O-and-D seat assignment to maximize expected revenue. Technical report, Boeing Commercial Airplane Company, Seattle, Washington. Unpublished internal technical report.
Glover, F., Glover, R., Lorenzo, J., and McMillan, C. (1982). The passenger mix problem in the scheduled airlines. Interfaces, 12:73–79.
Kaplan, A. (1969). Stock rationing. Management Science, 15:260–267.
Kleywegt, A. J. and Papastavrou, J. D. (1998). The dynamic and stochastic knapsack problem. Operations Research, 46:17–35.
Lautenbacher, C. J. and Stidham, S. J. (1999). The underlying markov decision process in the single-leg airline yield management problem. Transportation Science, 34:136–146.
Lee, T. C. and Hersh, M. (1993). A model for dynamic airline seat inventory control with multiple seat bookings. Transportation Science, 27:252–265.
Liang, Y. (1999). Solution to the continuous time dynamic yield management model. Transportation Science, 33:117–123.
Littlewood, K. (1972). Forecasting and control of passenger bookings. In Proceedings of the Twelfth AnnualAGIFORS Symposium, Nathanya, Israel.
Martinez, R. and Sanchez, M. (1970). Automatic booking level control. In Proceedings of the Tenth AGIFORS Symposium.
McGill, J. I. and van Ryzin, G. J. (1999). Revenue management: Research overview and prospects. Transportation Science, 33(2):233–256.
Phillips, R. L. (1994). A marginal value approach to airline origin and destination revenue management. In Henry, J. and Yvon, P., editors, Proceedings of the 16th Conference on System Modeling and Optimization, New York. Springer-Verlag.
Robinson, L. W. (1995). Optimal and approximate control policies for airline booking with sequential nonmonotonic fare classes. Operations Research, 43:252–263.
Rothstein, M. (1971). Airline overbooking: The state of the art. J. Trans. Econ. & Policy, 5:96–99.
Rothstein, M. (1975). Airline overbooking: Fresh approaches are needed. Transportation Science, 2:169–173.
Rothstein, M. (1985). O.R. and the airline overbooking problem. Operations Research, 33:237–248.
Rothstein, M. and Stone, A. W. (1967). Passenger booking levels. In Proceedings of the Seventh AGIFORS Symposium.
Shlifer, E. and Vardi, Y. (1975). An airline overbooking policy. Transportation Science, 9:101–114.
Simon, J. L. (1968). An almost practical solution to airline overbooking. J. Trans. Econ. & Policy, 2:201–202.
Simon, J. L. (1972). Airline overbooking: The state of the art — a reply. J. Trans. Econ. & Policy, 6:255–256.
Simon, J. L. (1993). The airline oversales auction plan: How it was adopted and how it has fared. In Fifth IATA Revenue Management Conference, Montreal.
Simon, J. L. (1994). The airline oversales auction plan: The results. J. Trans. Econ. & Policy, 28:319–323.
Simpson, R. W. (1989). Using network flow techniques to find shadow prices for market and seat inventory control. Technical Report Memorandum, M89-1, MIT Flight Transportation Laboratory, Cambridge, Massachusettes.
Smith, B. C. and Penn, C. W. (1988). Analysis of alternative origin-destination control strategies. In Proceedings of the Twenty Eighth Annual AGIFORS Symposium, New Seabury, Massachusettes.
Smith, B. C., Leimkuhler, J. F., and Darrow, R. M. (1992). Yield management at american airlines. Interfaces, 22:8–31.
Subramanian, J., Stidham Jr., S., and Lautenbacher, C. (1999). Airline yield management with overbooking, cancellations and no-shows. Transportation Science, 33:147–167.
Talluri, K. T. and van Ryzin, G. J. (1999a). An analysis of bid-price controls for network revenue management. Management Science, 44:1577–1593.
Talluri, K. T. and van Ryzin, G. J. (1999b). A randomized linear programming method for computing network bid prices. Transportation Science, 33:207–216.
Talluri, K. T. and van Ryzin, G. J. (2001). Revenue management under a general discrete choice model of consumer behavior. Working paper, Graduate School of Business, Columbia University.
Talluri, K. T. and van Ryzin, G. J. (2002). The Theory and Practice of Revenue Management. Kluwer Academic Publishers, Dordrecht, The Netherlands. To be published.
Taylor, C. J. (1962). The determination of passenger booking levels. In Proceedings of the Second AGIFORS Symposium.
Thompson, H.R. (1961). Statistical problems in airline reservation control. Oper. Res. Quart., 12:167–185.
Topkis, D. M. (1968). Optimal ordering and rationing policies in a nonstationary dynamic inventory model with n demand classes. Management Science, 15:160–176.
Van Ryzin, G. J. and McGill, J. I. (2000). Revenue management without forecasting or optimization: An adaptive algorithm for determining seat protection levels. Management Science, 46:760–775.
Van Slyke, R. and Young, Y. (2000). Finite horizon stochastic knapsacks with applications to yield management. Operations Research, 48:155–172.
Vinod, B. (1989). A set partitioning algorithm for virtual nesting indexing using dynamic programming. Technical report, Internal Technical Report, SABRE Decision Technologies.
Vinod, B. (1995). Origin-and-destination yield management. In Jenkins, D., editor, The Handbook of Airline Economics, pages 459–468. The Aviation Weekly Group of the McGraw-Hill Companies, New York.
Williamson, E. L. (1988). Comparison of optimization techniques for origin-destination seat inventory control. Master’s thesis, Flight Transportation Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusettes.
Williamson, E. L. (1992). Airline Network Seat Inventory Control: Methodologies and Revenue Impacts. PhD thesis, Flight Transportation Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusettes.
Wollmer, R. D. (1986). A hub-spoke seat management model. Unpublished company report, Douglas Aircraft Company, McDonnell Douglas Corporation.
Wollmer, R. D. (1992). An airline seat management model for a single leg route when lower fare classes book first. Operations Research, 40:26–37.
Wong, J. T. (1990). AirlineNetworkSeatAllocation. PhD thesis, Northwestern University, Evanston, Ill.
Wong, J. T., Koppelman, F. S., and Daskin, M. S. (1993). Flexible assignment approach to itinerary seat allocation. Transportation Research, 27B:33–48.
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van Ryzin, G.J., Talluri, K.T. (2003). Revenue Management. In: Hall, R.W. (eds) Handbook of Transportation Science. International Series in Operations Research & Management Science, vol 56. Springer, Boston, MA. https://doi.org/10.1007/0-306-48058-1_16
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