Revenue Management Without Forecasting or Optimization: An Adaptive Algorithm for Determining Airline Seat Protection Levels
By G. V. Ryzin, Jeff McGill. 2000
175 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Information Systems, Transportation
View Paper: https://www.semanticscholar.org/paper/a771b4f07b300237e96f9b014618c76aa4c8a2fa
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In Economics and Econometrics
In Management Information Systems
In Transportation
Citations in the corpus
- Dynamic Pricing Without Knowing the Demand Function: Risk Bounds and Near-Optimal Algorithms (2009, unknown): “In the context of optimizing seat allocation policies for a single flight multi-class problem, van Ryzin and McGill (2000) show that one can use stochastic approximation methods to reach near-optimal capacity protection levels in the long run.”
- A Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward: Empirical Results with Yield Management and Convergence Analysis (2004, background): “Brumelle and McGill (1993), Curry (1990), van Ryzin and McGill (2000), and Wollmer (1992) reported some shortcomings of the EMSR model.”