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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/49311
Title: Dynamic pricing with demand disaggregation for hotel revenue management
Authors: Bandalouski, A. M.
Egorova, N. G.
Kovalyov, M. Y.
Pesch, E.
Tarim, S. A.
Keywords: публикации ученых;dynamic pricing;hotel businesses;demand elasticity;concave programming
Issue Date: 2021
Publisher: Springer Nature
Citation: Dynamic pricing with demand disaggregation for hotel revenue management / A. M. Bandalouski [et al.] // Journal of Heuristics. – 2021. – Vol. 27. – № 5. – P. 869–885.
Abstract: 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.
URI: https://libeldoc.bsuir.by/handle/123456789/49311
Appears in Collections:Публикации в зарубежных изданиях

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