Assessing the value of dynamic pricing in network revenue management

INFORMS Journal on Computing

Volumn 25, Issue 1, 2013, Pages 102-115

  Zhang, Dan ^a   Lu, Zhaosong ^b  

^a UNIVERSITY OF COLORADO   (United States)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Approximate dynamic programming; Choice models; Dynamic pricing; Revenue management

Indexed keywords

APPROXIMATE DYNAMIC PROGRAMMING; CHOICE MODEL; COMPUTATIONAL APPROACH; DECOMPOSITION APPROACH; DETERMINISTIC APPROXIMATION; DYNAMIC PRICING; DYNAMIC PRICING POLICIES; REVENUE MANAGEMENT;

MANAGEMENT;

ECONOMICS;

EID: 84877969581     PISSN: 10919856     EISSN: 15265528     Source Type: Journal    
DOI: 10.1287/ijoc.1110.0488     Document Type: Article

References (34)

1. Adelman, D. 2007. Dynamic bid-prices in revenue management. Oper. Res. 55(4) 647-661.
2. Anderson, S. P., A. Palma, J.-F. Thisse. 1992. Discrete Choice Theory of Product Differentiation. MIT Press, Cambridge, MA.
3. Aydin, G., J. K. Ryan. 2002. Product line selection and pricing under the multinomial logit choice model. Working paper, Purdue University, Indianapolis.
4. Belobaba, P. P. 1989. Application of a probabilistic decision model to airline seat inventory control. Oper. Res. 37(2) 183-197.
5. Ben-Akiva, M., S. Lerman. 1985. Discrete Choice Analysis. MIT Press, Cambridge, MA.
6. Bertsekas, D. P., J. N. Tsitsiklis. 1996. Neuro-Dynamic Programming. Athena Scientific, Belmont, MA.
7. Birgin, E., J. Martínez, M. Raydon. 2000. Nonmonotone spectral projected gradient methods on convex sets. SIAM J. Optim. 10(4) 1196-1211.
8. Bitran, G., R. Caldentey. 2003. An overview of pricing models for revenue management. Manufacturing Service Oper. Management 5(3) 203-229.
9. Bitran, G. R., S. V. Mondschein. 1997. Periodic pricing of seasonal products in retailing. Management Sci. 43(1) 64-79. (Pubitemid 127575306)
10. Brumelle, S. L., J. I. McGill. 1993. Airline seat allocation with multiple nested fare classes. Oper. Res. 41(1) 127-137.
11. Cooper, W. L. 2002. Asymptotic behavior of an allocation policy for revenue management. Oper. Res. 50(4) 720-727.
12. Dong, L., P. Kouvelis, Z. Tian. 2009. Dynamic pricing and inventory control of substitute products. Manufacturing Service Oper. Management 11(2) 317-339.
13. Elmaghraby, W., P. Keskinocak. 2003. Dynamic pricing in the presence of inventory considerations: Research overview, current practices, and future directions. Management Sci. 49(10) 1287-1309.
14. Erdelyi, A., H. Topaloglu. 2010. Using decomposition methods to solve pricing problems in network revenue management. J. Revenue Pricing Management 10(4) 325-343.
15. Gallego, G., G. J. van Ryzin. 1994. Optimal dynamic pricing of inventories with stochastic demand over finite horizons. Management Sci. 40(8) 999-1020.
16. Gallego, G., G. J. van Ryzin. 1997. A multiproduct dynamic pricing problem and its applications to network yield management. Oper. Res. 45(1) 24-41. (Pubitemid 127684684)
17. Gallego, G., G. Iyengar, R. Phillips, A. Dubey. 2004. Managing flexible products on a network. CORC Technical Report Tr-2004-01, IEOR Department, Columbia University, New York.
18. Hanson, W., K. Martin. 1996. Optimizing multinomial logit profit functions. Management Sci. 42(7) 992-1003. (Pubitemid 126594425)
19. Karaesman, I., G. J. van Ryzin. 2004. Coordinating overbooking and capacity control decisions on a network. Working paper, Columbia University, New York.
20. Liu, Q., G. J. van Ryzin. 2008. On the choice-based linear programming model for network revenue management. Manufacturing Service Oper. Management 10(2) 288-310.
21. Maglaras, C., J. Meissner. 2006. Dynamic pricing strategies for multi-product revenue management problems. Manufacturing Service Oper. Management 8(2) 136-148. (Pubitemid 43666201)
22. Phillips, R. 2005. Pricing and Revenue Optimization. Stanford University Press, Stanford, CA.
23. Powell, W. 2007. Approximate Dynamic Programming: Solving the Curses of Dimensionality. Wiley-Interscience, Hoboken, NJ.
24. Ruszczyński, A. 2006. Nonlinear Optimization. Princeton University Press, Princeton, NJ.
25. Schrage, M. 2002. To Hal Varian, the price is always right. Strategy Bus. First Quarter http://www.strategy-business.com/press/16635507/10326.
26. Talluri, K., G. J. van Ryzin. 1998. An analysis of bid-price controls for network revenue management. Management Sci. 44(11) 1577-1593. (Pubitemid 128617772)
27. Talluri, K., G. J. van Ryzin. 2004a. Revenue management under a general discrete choice model of consumer behavior. Management Sci. 50(1) 15-33.
28. Talluri, K., G. J. van Ryzin. 2004b. The Theory and Practice of Revenue Management. Kluwer Academic Publishers, New York.
29. Topaloglu, H. 2009. Using Lagrangian relaxation to compute capacity-dependent bid prices in network revenue management. Oper. Res. 57(3) 637-649.
30. Williamson, E. L. 1992. Airline network seat control. Ph.D. thesis, Massachusetts Institute of Technology, Cambridge.
31. Zhang, D., D. Adelman. 2009. An approximate dynamic programming approach to network revenue management with customer choice. Transportation Sci. 43(3) 381-394.
32. Zhang, D., W. L. Cooper. 2005. Revenue management for parallel flights with customer-choice behavior. Oper. Res. 53(3) 415-431. (Pubitemid 41342346)
33. Zhang, D., W. L. Cooper. 2009. Pricing substitutable flights in airline revenue management. Eur. J. Oper. Res. 197(3) 848-861.
34. Zhao, W., Y.-S. Zheng. 2000. Optimal dynamic pricing for perishable assets with nonhomogeneous demand. Management Sci. 46(3) 375-388. (Pubitemid 30596825)