Airline companies usually implement revenue management to increase profits. The revenue management can be performed through seat inventory management. The current system to book seats is first-come first-served. This approach tends to sell low-price seats because low-price requests often appear earlier. It also results in low revenue. In this paper, an expected dynamic probability method and a ...

in this paper, we study the problem of integrated capacitated hub location problem and seat inventory control considering concept and techniques of revenue management. we consider an airline company maximizes its revenue by utilizing the best network topology and providing proper booking limits for all itineraries and fare classes. the transportation system arises in the form of a star/star net...

A well-studied problem in the literature on airline revenue (or yield) management is the optimal allocation of seat inventory among fare classes given a demand distribution for each class. In practice, the seat allocation decisions of one airline affect the passenger demands for seats on other airlines. In this paper we examine the seat inventory control problem under both horizontal competitio...

A well-studied problem in the literature on airline revenue (or yield) management is the optimal allocation of seat inventory among fare classes given a demand distribution for each class. In the literature thus far, passenger demand is an exogenous parameter. However, the seat allocation decisions of one airline affect the passenger demands for seats on other airlines. In this paper we examine...

We consider the simultaneous seat-inventory control of a set of parallel flights between a common origin and destination with dynamic customer choice among the flights. We formulate the problem as an extension of the classic multiperiod, single-flight “block demand” revenue management model. The resulting Markov decision process is quite complex, owing to its multidimensional state space and th...

Airline seat inventory control is a very profitable tool in the airline industry. Mathematical programming models provide booking limits or bid-prices for all itineraries and fare classes based on demand forecasts. But the actual revenue generated in the booking process fails to meet expectations. Simple deterministic models based on expected demand generate better revenue than more advanced pr...