Models of the Spiral-Down Effect in Revenue Management
Operations Research
Marketing Models of Service and Relationships
Marketing Science
Stochastic Comparisons in Airline Revenue Management
Manufacturing & Service Operations Management
Revenue management: models and methods
Proceedings of the 40th Conference on Winter Simulation
An Optimal Approximate Dynamic Programming Algorithm for the Lagged Asset Acquisition Problem
Mathematics of Operations Research
On a Data-Driven Method for Staffing Large Call Centers
Operations Research
Toward Robust Revenue Management: Competitive Analysis of Online Booking
Operations Research
Robust Controls for Network Revenue Management
Manufacturing & Service Operations Management
ACM Transactions on Modeling and Computer Simulation (TOMACS)
The applications of ameso optimization in supply chains
ISP'07 Proceedings of the 6th WSEAS international conference on Information security and privacy
Regret in Overbooking and Fare-Class Allocation for Single Leg
Manufacturing & Service Operations Management
Revenue management: models and methods
Winter Simulation Conference
Blind Network Revenue Management
Operations Research
A revenue management approach for managing operating room capacity
Proceedings of the Winter Simulation Conference
Blind Network Revenue Management
Operations Research
Multidimensional stochastic approximation: Adaptive algorithms and applications
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on simulation in complex service systems
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We investigate a simple adaptive approach to optimizing seat protection levels in airline revenue management systems. The approach uses only historical observations of the relative frequencies of certain seat-filling events to guide direct adjustments of the seat protection levels in accordance with the optimality conditions of Brumelle and McGill (1993). Stochastic approximation theory is used to prove the convergence of this adaptive algorithm to the optimal protection levels. In a simulation study, we compare the revenue performance of this adaptive approach to a more traditional method that combines a censored forecasting method with a common seat allocation heuristic (EMSR-b).