Abstract

In this study, seat inventory control is considered for airline networks. Alternative optimization models are proposed for risk-averse decision makers by incorporating the following measure: lower-semideviation of revenue from a given threshold level or expected revenue. Performance of the proposed models is tested in a simulation model for a sample network under different scenarios by using a nesting heuristic and simulating arrival pattern of the airline demand.

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