Review of revenue management methods with dependent demands

Belobaba, P. (1987) Air travel demand and airline seat inventory management. PhD dissertation; Flight Transportation Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts, May.

Belobaba, P. (2002) Airline network revenue management: Recent developments and state of the practice. In: D. Jenkins (ed.) Handbook of Airline Economics, 2nd edn. New York: The McGraw-Hill Companies.

Belobaba, P. (2008) The rise and fall of airline RM systems: How can OR help? AGIFORS Symposium Meeting; September 2008, Montreal, Canada.

Belobaba, P. and Hopperstad, C. (2004) Algorithms for revenue management in unrestricted fare structures. INFORMS Revenue Management Section Meeting; June 2004, Cambridge, Massachusetts.

Belobaba, P. and Weatherford, L. (1996) Comparing decision rules that incorporate customer diversion in perishable asset revenue management situations. Decision Sciences 27 (2): 343–363.

Boyd, E.A. and Kallesen, R. (2004) The science of revenue management when passengers purchase the lowest available fare. Journal of Revenue and Pricing Management 3 (2): 171–177.

Brumelle, S., McGill, J., Oum, T., Sawaki, K. and Tretheway, M. (1990) Allocation of airline seats between stochastically dependent demands. Transportation Science 24 (3): 183–192.

Fiig, T, Isler, K, Hopperstad, C. and Belobaba, P. (2010) Optimization of mixed fare structures: Theory and applications. Journal of Revenue and Pricing Management 9 (1–2): 152–170.

Fiig, T., Isler, K., Hopperstad, C. and Cleaz-Savoyen, R. (2005) DAVN-MR: A Unified Theory of O&D Optimization in a Mixed Network with Restricted and Unrestricted Fare Products. Cape Town, South Africa: AGIFORS Reservations and Yield Management Study Group.

Gallego, G., Iyengar, G., Phillips, R. and Dubey, A. (2004) Managing Flexible Products on a Network. Department of Industrial Engineering and Operations Research; Columbia University. CORC Technical Report TR-2004-01, http://www.corc.ieor.columbia.edu/reports/techreports/tr-2004-01.pdf .

Gallego, G., Li, L. and Ratliff, R. (2007) Revenue Management with Customer Choice Models. Jeju Island, South Korea: AGIFORS Cargo and Revenue Management Study Group.

Gallego, G., Li, L. and Ratliff, R. (2009) Choice-based EMSR methods for single-leg revenue management with demand dependencies. Journal of Revenue and Pricing Management 8 (2): 207–240.

Hopperstad, C. (2004) Alternative RM Algorithms for Unrestricted Fare Structures. Auckland, New Zealand: AGIFORS Reservations and Yield Management Study Group.

Isler, K., Imhof, H. and Reifenberg, M. (2005) From Seamless Availability to Seamless Quote. Cape Town, South Africa: AGIFORS Reservations and Yield Management Study Group.

Liu, Q. and van Ryzin, G. (2008) On the choice-based linear programming model for network revenue management. Manufacturing & Services Operations Management 10 (2): 288–310.

Miranda-Bront, J., Mendez-Diaz, I. and Vulcano, G. (2009) A column generation algorithm for choice-based network revenue management. Operations Research 57 (3): 769–784.

Mishra, S., Ratliff, R. and Vinod, B. (2005) New generation in demand forecasting. AGIFORS Symposium Meeting; September 2005, Sao Paulo, Brazil.

Parker, R. (2004) Evaluating schedules with the network value index. AGIFORS Symposium Meeting; September 2004, Singapore.

Ratliff, R., Rao, B., Narayan, C. and Yellepeddi, K. (2008) A multi-flight recapture heuristic for estimating unconstrained demand from airline bookings. Journal of Revenue and Pricing Management 7 (2): 153–171.

Smith, B. and Penn, C. (1988) Analysis of alternate origin-destination control strategies. AGIFORS 28th Annual Symposium Proceedings; October, pp. 123–144.

Stefanescu, C. (2009) Multivariate Demand: Modeling and Estimation from Censored Sales. Working paper, February 2009.

Talluri, K. (2009) A Finite Population Revenue Management Model and a Risk-Ratio Procedure for the Joint Estimation of Population Size Parameters. Working paper, 2 February 2009.

Talluri, K. and van Ryzin, G. (2004) Revenue management under a general discrete choice model of consumer behavior. Management Science 50 (1): 15–33.

van Ryzin, G. and Vulcano, G. (2008) Simulation-based optimization of virtual nesting controls for network revenue management. Operations Research 56 (4): 865–880.

Vulcano, G., van Ryzin, G. and Chaar, W. (2009) Choice-Based Revenue Management: An Empirical Study of Estimation and Optimization. Working paper, revised January 2009, http://pages.stern.nyu.edu/~gvulcano/Research.html .

Vulcano, G., van Ryzin, G. and Ratliff, R. (2008) Estimating Primary Demand for Substitutable Products from Sales Transaction Data. Working paper, July 2008, http://pages.stern.nyu.edu/~gvulcano/Research.html .

Weatherford, L. (2008) Survey results from airlines using revenue management software systems. AGIFORS Cargo and RM Study Group, Tahiti, French Polynesia; May 2008 (now published in Journal of Revenue and Pricing Management 8(4): 323–329).

Weatherford, L. and Khokhlov, A. (2004) The Theory and Practice of Dynamic-Programming Based Bid Prices. Auckland, New Zealand: AGIFORS Cargo and RM Study Group.

Weatherford, L. and Khokhlov, A. (2005) The Theory and Practice of Dynamic-Programming Based Bid Prices – Part 2. Cape Town, South Africa: AGIFORS Cargo and RM Study Group.