Dynamic Bid Prices in Revenue Management

References

• Bertsimas D., de Boer S. Simulation-based booking limits for airline revenue management. Oper. Res. (2005) 53:90–106Link, Google Scholar
• Bertsimas D., Popescu I. Revenue management in a dynamic network environment. Transportation Sci. (2003) 37:257–277Link, Google Scholar
• Cooper W. L. Asymptotic behavior of an allocation policy for revenue management. Oper. Res. (2002) 50:720–727Link, Google Scholar
• Cooper W. L., Homem-de-Mello T. A class of hybrid methods for revenue management. (2003) . Working Paper 03-015, Northwestern University, Evanston, ILGoogle Scholar
• de Farias D. P., Van Roy B. The linear programming approach to approximate dynamic programming. Oper. Res. (2003) 51:850–865Link, Google Scholar
• McGill J., van Ryzin G. J. Revenue management: Research overview and prospects. Transportation Sci. (1999) 33:233–256Link, Google Scholar
• Puterman M. L.Markov Decision Processes: Discrete Stochastic Dynamic Programming (1994) (Wiley, New York) Crossref, Google Scholar
• Schweitzer P. J., Seidmann A. Generalized polynomial approximations in Markovian decision processes. J. Math. Anal. Appl. (1985) 110:568–582Crossref, Google Scholar
• Simpson R. W. Using network flow techniques to find shadow prices for market and seat inventory control. (1989) . Technical report, MIT Flight Transportation Laboratory Memorandum M89-1, Massachusetts Institute of Technology, Cambridge, MAGoogle 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. T., van Ryzin G. J.The Theory and Practice of Revenue Management (2004) (Kluwer Academic Publishers, Norwell, MA) Crossref, Google Scholar
• Williamson E. L. Airline network seat control. (1992) . Ph.D. dissertation, Massachusetts Institute of Technology, Cambridge, MAGoogle Scholar