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

摘要: Abstract This article develops an artificial neural network (ANN) based forecasting model using the past profit records of hotel commodities. Based on forecasting, commodities are categorised into two kinds: ones that push up revenue, and others, which pull it down. Thereafter, long short term goals formulated for fixing quota proper revenue management under uncertainty. For goal, analytical process (ANP) framework is adopted to establish interrelationships among factors DEMATEL methodology. Risk adjusted maximum expected employed goal. Subsequently optimal numbers obtained a fuzzy goal programming approach, favourable price individual determined keeping elasticity as one. Finally, comparison made between respective generated with new from proposed maximization model, old practised quota. The paper demonstrates superiority approach. A case study has been taken demonstrate model.