Regret in Overbooking and Fare-Class Allocation for Single Leg
成果类型:
Article
署名作者:
Lan, Yingjie; Ball, Michael O.; Karaesmen, Itir Z.
署名单位:
Peking University; University System of Maryland; University of Maryland College Park; American University
刊物名称:
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
ISSN/ISSBN:
1523-4614
DOI:
10.1287/msom.1100.0316
发表日期:
2011
页码:
194-208
关键词:
revenue management
Worst-case analysis
regret
overbooking
fare-class allocation
摘要:
Focusing on a seller's regret in not acting optimally, we develop a model of overbooking and fare-class allocation in the multifare, single-resource problem in revenue management. We derive optimal static overbooking levels and booking limits, in closed form, that minimize the maximum relative regret (i.e., maximize competitive ratio). We prove that the optimal booking limits are nested. Our work addresses a number of important issues. (i) We use partial information, which is critical because of the difficulty in forecasting fare-class demand. Demand and no-shows are characterized using interval uncertainty in our model. (ii) We make joint overbooking and fare-class allocation decisions. (iii) We obtain conservative but practical overbooking levels that improve the service quality without sacrificing profits. Using computational experiments, we benchmark our methods to existing ones and show that our model leads to effective, consistent, and robust decisions.