Dynamic Pricing for Hotel Revenue Management Using Price Multipliers

dc.contributor.authorBayoumi, Abd El-Moniemen
dc.contributor.authorSaleh, Mohameden
dc.contributor.authorAtiva, Amir F.en
dc.contributor.authorAziz, Heba Abdelen
dc.date.accessioned2018-11-02T19:02:06Zen
dc.date.available2018-11-02T19:02:06Zen
dc.date.issued2013en
dc.description.abstractIn this paper it is proposed a new dynamic pricing approach for the hotel revenue management problem. The proposed approach is based on having “price multipliers” that vary around “1” and provide a varying discount/premium over some seasonal reference price. The price multipliers are a function of certain influencing variables (for example hotel occupancy, time till arrival, etc). We apply an optimization algorithm for determining the parameters of these multipliers, the goal being to maximize the revenue, taking into account current demand, and the demand-price sensitivity of the hotel’s guest. The optimization algorithm makes use of a Monte Carlo simulator that simulates all the hotel’s processes, such as reservations arrivals, cancellations, duration of stay, no shows, group reservations, seasonality, trend, etc, as faithfully as possible. We have tested the proposed approach by successfully applying it to the revenue management problem of Plaza Hotel, Alexandria, Egypt, as a case study.en
dc.identifier.urihttp://hdl.handle.net/10919/85633en
dc.language.isoenen
dc.publisherJournal of Revenue Pricing Managementen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectRevenue management systemen
dc.subjectdynamic pricingen
dc.subjectprice elasticityen
dc.subjectMonte Carlo simulationen
dc.subjecthotel room forecastingen
dc.titleDynamic Pricing for Hotel Revenue Management Using Price Multipliersen
dc.typeArticleen

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