ОБЗОР МОДЕЛЕЙ УПРАВЛЕНИЯ ДОХОДНОСТЬЮ В ГОСТИНИЧНОМ БИЗНЕСЕ

The paper gives a brief scope of Hotel Revenue Management theory and discusses its basic def-initions. It also suggests a new classification of Revenue Management processes and surveys dynamic pricing, forecasting and optimization models employed in Hotel Revenue Management. Last section proposes promising directions of future research.Приводится краткое описание теории управления доходностью в гостиничном бизнесе, рас-крываются основные понятия. Предлагается новая классификация процессов управления доход-ностью, дается обзор литературы по динамическому ценообразованию, методам прогнозирования и оптимизационным моделям, применяемым в управлении доходностью в гостиничном бизнесе. Указы-ваются перспективные направления будущих исследований

ОПТИМИЗАЦИЯ ГИБКИХ ЦЕН ГОСТИНИЧНЫХ НОМЕРОВ

An approach to solvе a problem of determining optimal dynamic prices for hotel rooms is suggested. It includes selection of input parameters for the succeeding mathematical analysis, disaggregation of the demand into several categories, demand forecasting, simulation of demand- price relations, and a mathematical programming model for price optimization.Предлагается подход к решению задачи отыскания гибких цен гостиницы, максимизирующих прибыль от сдачи номеров гостям. Подход включает определение входных параметров для последующего математического анализа, разделение спроса на несколько категорий, прогнозирование спроса, определение коэффициентов функции спроса и решение задачи математического программирования для оптимизации цен

Dynamic pricing with demand disaggregation for hotel revenue management

In this paper we present a novel approach to the dynamic pricing problem for hotel businesses. It includes disaggregation of the demand into several categories, forecasting, elastic demand simulation, and a mathematical programming model with concave quadratic objective function and linear constraints for dynamic price optimization. The approach is computationally efficient and easy to implement. In computer experiments with a hotel data set, the hotel revenue is increased by about 6% on average in comparison with the actual revenue gained in a past period, where the fixed price policy was employed, subject to an assumption that the demand can deviate from the suggested elastic model. The approach and the developed software can be a useful tool for small hotels recovering from the economic consequences of the COVID-19 pandemic

Experimentation with a dynamic pricing approach for hotel industry

A dynamic pricing approach for hotel revenue management is suggested. It aims at increasing revenue over the baseline

AN OVERVIEW OF THE HOTEL REVENUE MANAGEMENT MODELS

The paper gives a brief scope of Hotel Revenue Management theory and discusses its basic def-initions. It also suggests a new classification of Revenue Management processes and surveys dynamic pricing, forecasting and optimization models employed in Hotel Revenue Management. Last section proposes promising directions of future research

OPTIMIZING HOTEL DYNAMIC PRICES

An approach to solvе a problem of determining optimal dynamic prices for hotel rooms is suggested. It includes selection of input parameters for the succeeding mathematical analysis, disaggregation of the demand into several categories, demand forecasting, simulation of demand- price relations, and a mathematical programming model for price optimization