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Revenue Management and E-Commerce

Author

Listed:
  • E. Andrew Boyd

    (PROS Revenue Management, 3100 Main Street, Houston, Texas 77002)

  • Ioana C. Bilegan

    (LAAS-CNRS and ENAC, 7, avenue du Colonel Roche, 31077 Toulouse, France)

Abstract

We trace the history of revenue management in an effort to illustrate a successful e--commerce model of dynamic, automated sales. Our discourse begins with a brief overview of electronic distribution as practiced in the airline industry, emphasizing the fundamental role of central reservation and revenue management systems. Methods for controlling the sale of inventory are then introduced along with related techniques for optimization and forecasting. Research contributions and areas of significant research potential are given special attention. We conclude by looking at how revenue management is practiced outside of the airline industry, its relationship to dynamic pricing, and future directions for the discipline.

Suggested Citation

  • E. Andrew Boyd & Ioana C. Bilegan, 2003. "Revenue Management and E-Commerce," Management Science, INFORMS, vol. 49(10), pages 1363-1386, October.
  • Handle: RePEc:inm:ormnsc:v:49:y:2003:i:10:p:1363-1386
    DOI: 10.1287/mnsc.49.10.1363.17316
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    References listed on IDEAS

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    1. Fildes, Robert & Hibon, Michele & Makridakis, Spyros & Meade, Nigel, 1998. "Generalising about univariate forecasting methods: further empirical evidence," International Journal of Forecasting, Elsevier, vol. 14(3), pages 339-358, September.
    2. S. L. Brumelle & J. I. McGill, 1993. "Airline Seat Allocation with Multiple Nested Fare Classes," Operations Research, INFORMS, vol. 41(1), pages 127-137, February.
    3. Barry C. Smith & John F. Leimkuhler & Ross M. Darrow, 1992. "Yield Management at American Airlines," Interfaces, INFORMS, vol. 22(1), pages 8-31, February.
    4. Bodily, S. E. & Weatherford, L. R., 1995. "Perishable-asset revenue management: Generic and multiple-price yield management with diversion," Omega, Elsevier, vol. 23(2), pages 173-185, April.
    5. Tak C. Lee & Marvin Hersh, 1993. "A Model for Dynamic Airline Seat Inventory Control with Multiple Seat Bookings," Transportation Science, INFORMS, vol. 27(3), pages 252-265, August.
    6. 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.
    7. Alstrup, Jens & Boas, Soren & Madsen, Oli B. G. & Vidal, ReneVictor Valqui, 1986. "Booking policy for flights with two types of passengers," European Journal of Operational Research, Elsevier, vol. 27(3), pages 274-288, December.
    8. Renwick E. Curry, 1990. "Optimal Airline Seat Allocation with Fare Classes Nested by Origins and Destinations," Transportation Science, INFORMS, vol. 24(3), pages 193-204, August.
    9. Fildes, Robert & Lusk, Edward J, 1984. "The choice of a forecasting model," Omega, Elsevier, vol. 12(5), pages 427-435.
    10. 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.
    11. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    12. Richard D. Wollmer, 1992. "An Airline Seat Management Model for a Single Leg Route When Lower Fare Classes Book First," Operations Research, INFORMS, vol. 40(1), pages 26-37, February.
    13. S E Kimes, 1999. "Group forecasting accuracy in hotels," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(11), pages 1104-1110, November.
    14. Clemen, Robert T., 1989. "Combining forecasts: A review and annotated bibliography," International Journal of Forecasting, Elsevier, vol. 5(4), pages 559-583.
    15. Fred Glover & Randy Glover & Joe Lorenzo & Claude McMillan, 1982. "The Passenger-Mix Problem in the Scheduled Airlines," Interfaces, INFORMS, vol. 12(3), pages 73-80, June.
    16. Ladany, SP & Bedi, DN, 1977. "Dynamic booking rules for flights with an intermediate stop," Omega, Elsevier, vol. 5(6), pages 721-730.
    17. Nicola Secomandi & Kirk Abbott & Tankut Atan & E. Andrew Boyd, 2002. "From Revenue Management Concepts to Software Systems," Interfaces, INFORMS, vol. 32(2), pages 1-11, April.
    18. Arthur M. Geoffrion & Ramayya Krishnan, 2001. "Prospects for Operations Research in the E-Business Era," Interfaces, INFORMS, vol. 31(2), pages 6-36, April.
    19. Marvin Rothstein, 1971. "An Airline Overbooking Model," Transportation Science, INFORMS, vol. 5(2), pages 180-192, May.
    20. Armstrong, J. Scott & Collopy, Fred, 1992. "Error measures for generalizing about forecasting methods: Empirical comparisons," International Journal of Forecasting, Elsevier, vol. 8(1), pages 69-80, June.
    21. Belobaba, Peter P. & Wilson, John L., 1997. "Impacts of yield management in competitive airline markets," Journal of Air Transport Management, Elsevier, vol. 3(1), pages 3-9.
    22. Conrad J. Lautenbacher & Shaler Stidham, 1999. "The Underlying Markov Decision Process in the Single-Leg Airline Yield-Management Problem," Transportation Science, INFORMS, vol. 33(2), pages 136-146, May.
    23. Lawrence W. Robinson, 1995. "Optimal and Approximate Control Policies for Airline Booking with Sequential Nonmonotonic Fare Classes," Operations Research, INFORMS, vol. 43(2), pages 252-263, April.
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