Competitive revenue management for fixing quota and price of hotel commodities under uncertainty [Summary]

dc.contributor.authorPadhi, Sidharthaen
dc.contributor.authorAggarwal, Vijayen
dc.date.accessioned2018-10-26T17:51:17Zen
dc.date.available2018-10-26T17:51:17Zen
dc.date.issued2011-09en
dc.description.abstractThis article develops an artificial neural network (ANN) based forecasting model using the past profit records of hotel commodities. Based on forecasting, hotel commodities are categorised into two kinds: ones that push up the revenue, and others, which pull it down. Thereafter, long and short term goals are formulated for fixing quota and proper revenue management under uncertainty.en
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/85547en
dc.language.isoen_USen
dc.publisherVirginia Techen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectRevenue managementen
dc.subjectANPen
dc.subjectDEMATELen
dc.subjectANNen
dc.subjectFuzzy goal programmingen
dc.subjectForecastingen
dc.titleCompetitive revenue management for fixing quota and price of hotel commodities under uncertainty [Summary]en
dc.title.serialInternational Journal of Hospitality Managementen
dc.typeSummaryen
dc.type.dcmitypeTexten

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