Özet:

The application of capacity over reservation, which is part of income management, is currently applied in many sectors where unused capacity cannot be stored. If some of the customers who make the reservation don’t come to the reservation, the purpose of this application to get the reservation over the capacity is to increase the amount of profits while reducing the capacity. In the classical approach in literature, it is recognized that every customer who makes a reservation has the same chance of coming to a reservation. Differently in this study, it is recommended that the possibility of arrival to the reservation of each customer who makes the reservation is determined by person. The personal possibilities required for the proposed approach, using predictive algorithms, are obtained from previous booking information. The fact that each customer has different arrival possibilities has made it difficult to calculate the possibilities of customers coming to their reservations in different numbers in a classic way. These probability values used to determine the optimal reservation limit are obtained by the Monte Carlo simulation. The study found that the recommended dynamic booking models could result in much higher profits than the classic approach.

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