Revenue management problems originated in the 1970`s in the context of the airline industry have been successfully introduced in airline industries. It has started on the capacity control by booking classes for available seats, and has been recognized as a powerful tool to maximize the total revenue. Changing customer behavior and airline market environments, however, has required a new mechanism for improving the revenue. Dynamic pricing is one of innovative tools which is to adjust prices according to the market status. In this paper, we consider a dynamic pricing problem for discrete time horizon. Given the price set for each time, we suggest a mixed Integer Programming model to solve our problem efficiently. Our model can be expanded to other comprehensive problems.