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Callable products for an implicit time model with dependent demands
Authors:Guillermo Gallego  Haengju Lee
Institution:1. School of Data Science, Chinese University of Hong Kong, Shenzhen;2. School of Business, Pusan National University, Busan, Republic of Korea
Abstract:Capacity providers such as airlines and hotels have traditionally increased revenues by practicing market segmentation and revenue management, enabling them to sell the same capacity pool to different consumers at different prices. Callable products can enhance profits and improve consumers' welfare by allowing the firm to broker capacity between consumers with different willingness to pay. A consumer who buys a callable product gives the capacity provider the right to recall capacity at a prespecified recall price. This article studies callable products in the context of the model most commonly used in industry, which handles time implicitly imposing fewer restrictions on the nature of randomness compared to the Poisson arrival process favored in academia. In the implicit time model, capacity providers set booking limits to protect capacity for future high-fare demand. Our numerical study identifies conditions where callable products result in significant gains in profits.
Keywords:callable products  revenue management  implicit time models  dependent demands
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