随机需求环境下酒店容量决策与定价策略的同步优化

S. Bagchi
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引用次数: 0

摘要

在酒店行业的背景下,决策者面临的最大和资本密集型挑战之一是决定酒店的能力。在做这个决定时,决策者需要考虑到需求的季节性。此外,价格和需求之间的相互作用也在这一决定中发挥了重要作用。在本研究中,我们试图在随机需求环境下同时确定酒店的最优容量和定价政策。微分学被用来确定解。产能和价格都是决策者的决策变量。为了符合实际,需求的季节性以双层次需求的形式体现出来。数值举例说明了决策过程。这项研究为企业家决定其即将开业的酒店的容量和定价提供了一个起点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simultaneous Optimization of Capacity Decision and Pricing Policy of a Hotel in Stochastic Demand Environment
In the context of the hotel industry, one of the biggest and capital-intensive challenges a decision maker has is to decide on the capacity of the hotel. While taking this decision, the decision maker needs to take seasonality of demand into consideration. Also, the interplay between price and demand also play a major role on this decision. In this study, an effort is made to simultaneously identify the optimal capacity and pricing policy of a hotel in the presence of a stochastic demand environment. Differential calculus is used to identify the solution. Both capacity and price are considered as decision variables for the decision maker. To comply with reality, the seasonality in demand is incorporated in the form of bi-level demand. Numerical illustrations are also shown to explain the decision-making process. This study offers a starting point for an entrepreneur to decide both capacity and pricing for their upcoming hotel.
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