An Integrated Optimal Approach to Fare Pricing, Seat Inventory Control, and Fare Class Segmentation in Airline Industry with Demand Leakage

Author(s):  
Syed Asif Raza
Aviation ◽  
2004 ◽  
Vol 8 (4) ◽  
pp. 10-15
Author(s):  
Edgars K. Vasermanis ◽  
Nicholas A. Nechval ◽  
Konstantin N. Nechval ◽  
Kristine N. Rozite

Airline seat inventory control is about “selling the right seats to the right people at the right time”. In this paper, the problem of determining optimal booking policy for multiple fare classes in a pool of identical seats for multi‐leg flights is considered. During the time prior to departure of a multi‐leg flight, decisions must be made concerning the allocation of reserved seats to passengers requesting space on the full or partial spans of the flight. It will be noted that in the case of multi‐leg flights the long‐haul passengers are often unable to obtain seats because the shorter‐haul passengers block them. For large commercial airlines, efficiently setting and updating seat allocation targets for each passenger category on each multi‐leg flight is an extremely difficult problem. This paper presents static and dynamic models of airline seat inventory control for multi‐leg flights with multiple fare classes, which allow one to maximize the expected contribution to profit. The dynamic model uses the most recent demand and capacity information and allows one to allocate seats dynamically and anticipatorily over time.


2013 ◽  
Vol 273 ◽  
pp. 34-38
Author(s):  
Di Wang ◽  
Chang You Liu

In order to achieve a real-time control method and technical support for airlines, the integrated modeling issue of airlines about seat inventory control and overbooking has been researched in this paper. And the integrated control static model has been established by the stochastic programming method, based on ticket sales process to be simulated as a queue process and profit maximization to be objective function. So the problem is decomposed into a plurality of single-segment and single-class seat inventory control problem. Furthermore, the optimal decision-making equation of limiting reservation for each class has been deduced from the model. Finally, the validity of model and calculation method are shown by the full analysis of practical application of the model.


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