OPTIMIZING HOTEL DYNAMIC PRICES
Abstract
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.
About the Authors
A. M. BandalouskiBelarus
M. Y. Kovalyov
Belarus
References
1. Бондоловский, А.М. Обзор моделей управления доходностью в гостиничном бизнесе / А.М. Бондоловский // Информатика. – 2014. – № 10. – С. 66–83.
2. Houthakker, H. Harvard economic studies / H. Houthakker, L. Taylor. – Harvard : Harvard University Press, 1970. – Vol. 126. – 321 p.
3. IBM. ILOG CPLEX Optimization Studio. IBM [Electronic resource]. – 2015. – Mode of access : http://goo.gl/9Uy8PA. – Date of access : 10.12.2015.
4. Weatherford, L.R. Forecasting for hotel revenue management: testing aggregation against disaggregation / L.R. Weatherford, S.E. Kimes, D.A. Scott // Cornell Hotel and Restaurant Administration Quarterly. – 2001. – Vol. 42. – P. 53–64.
5. Gardner, E. Exponential smoothing: The state of the art – Part ii / E. Gardner // Intern. J. of Forecasting. – 2006. – Vol. 22, no. 4. – P. 637–666.
6. Forecasting uncertain hotel room demand / M. Rajopadhye [et al.] // Information Sciences. – 2001. – Vol. 132, no. 1–4. – P. 1–11.
7. Национальный статистический комитет Республики Беларусь [Электронный ресусрс]. – 2015. – Режим доступа : http://belstat.gov.by/ofitsialnaya-statistika/otrasli- tatistiki/tseny/operativnayainformatsiya_ 4/. – Дата доступа : 11.09.2015.
Review
For citations:
Bandalouski A.M., Kovalyov M.Y. OPTIMIZING HOTEL DYNAMIC PRICES. Informatics. 2016;(1):26-38. (In Russ.)