Overbooking with Bounded Loss
研究了单资源收益管理中的超售问题，提出一种在线算法，其预期损失与时间T无关，优于现有研究。
We study a classic problem in revenue management: quantity-based, single-resource revenue management with no-shows. In this problem, a firm observes a sequence of T customers requesting a service. Each arrival is drawn independently from a known distribution of k different types, and the firm needs to decide irrevocably whether to accept or reject requests in an online fashion. The firm has a capacity of resources B and wants to maximize its profit. Each accepted service request yields a type-dependent revenue and has a type-dependent probability of requiring a resource once all arrivals have occurred (or be a no-show). If the number of accepted arrivals that require a resource at the end of the horizon is greater than B, the firm needs to pay a fixed compensation for each service request that it cannot fulfill. With a clairvoyant that knows all arrivals ahead of time, as a benchmark, we provide an algorithm with a uniform additive loss bound, that is, its expected loss is independent of T. This improves upon prior works achieving [Formula: see text] guarantees. Funding: The authors gratefully acknowledge generous support by the Sloan School of Management at MIT. Supplemental Material: The online appendix is available at https://doi.org/10.1287/moor.2022.1293 .