Airline seat allocation with multiple nested fare classes
Operations Research
Matrix computations (3rd ed.)
Mathematics of Operations Research
Simulation
Making Hard Decisions with Decisiontools Suite
Making Hard Decisions with Decisiontools Suite
Dynamic Airline Revenue Management with Multiple Semi-Markov Demand
Operations Research
Revenue Management: Research Overview and Prospects
Transportation Science
The Underlying Markov Decision Process in the Single-Leg Airline Yield-Management Problem
Transportation Science
Robust Controls for Network Revenue Management
Manufacturing & Service Operations Management
Regret in Overbooking and Fare-Class Allocation for Single Leg
Manufacturing & Service Operations Management
On the structural properties of a discrete-time single product revenue management problem
Operations Research Letters
Markdown Pricing with Unknown Fraction of Strategic Customers
Manufacturing & Service Operations Management
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In this paper, we introduce robust versions of the classical static and dynamic single-leg seat allocation models. These robust models take into account the inaccurate estimates of the underlying probability distributions. As observed by simulation experiments, it turns out that for these robust versions the variability compared to their classical counterparts is considerably reduced with a negligible decrease in average revenue.