In this paper we tackle the overbooking problem in hotel revenue management (RM). We
propose a simulations-based approach for the overbooking problem. It is based on …

Purpose–This paper aims to develop overbooking models to determine the optimal number
of overbooking for hotels having one and two different types of rooms. Design/methodology …

Purpose–This paper aims to present an integrated framework for hotel revenue room
maximization. The revenue management (RM) model presented in this work treats the …

This paper addresses the problem of room pricing in hotels. We propose a hotel revenue
management model based on dynamic pricing to provide hotel managers with a flexible and …

Forecasting hotel arrivals and occupancy is an important component in hotel revenue
management systems. In this article, we propose a new Monte Carlo simulation approach for …

We develop a hotel revenue management optimization method in an environment where
market segment prices are optimized via demand curves ahead of a planning horizon. This …

Nowadays yield management is a strategic and tactical tool for hotels to improving its
revenues and profitability under the global competitive environment. Compared to the airline …

In many application areas such as airlines and hotels a large number of bookings are
typically cancelled. Explicitly taking into account cancellations creates an opportunity for …

Overbooking is not only an important content of revenue management, but also an effective
way to increase airlines' profits. Arrival rate of ticketed passengers is a key factor to …

In this paper, a novel data-driven overbooking model is developed. Unlike traditional models
in this area, our new model first applies some machine learning techniques to classify the …