Airline revenue management with passenger routing control: a new model with solution approaches
Kalyan Talluri
Abstract
Kalyan Talluri
Abstract
We propose a new model for the airline revenue management problem that incorporates passenger routing along with seat inventory control. The revenue management models proposed so far in the literature have concentrated solely on controlling lower fare sales on high demand flights to maximise revenue. Our model will, in addition, exploit the presence of low demand alternative routes to increase revenue further. For large airlines with multiple hubs and alternative routes, our model and solution procedures have the potential for significant revenue enhancements, with almost no deterioration in the level of service, and a manageable increase in computational costs.
OpenAlex reports 33 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
We propose a new model for the airline revenue management problem that incorporates passenger routing along with seat inventory control. The revenue management models proposed so far in the literature have concentrated solely on controlling lower fare sales on high demand flights to maximise revenue. Our model will, in addition, exploit the presence of low demand alternative routes to increase revenue further. For large airlines with multiple hubs and alternative routes, our model and solution procedures have the potential for significant revenue enhancements, with almost no deterioration in the level of service, and a manageable increase in computational costs.
Key concepts: Revenue management, Revenue, Yield management, Revenue assurance, Exploit, Revenue model, Routing (electronic design automation), Operations research