摘要
传统航空超售模型研究航空公司针对临时退票或no-show所采取的售票策略,考虑到未来实际需求的不确定性。不同于已有文献采用的随机优化或需求分布估计的模型,本文围绕售票限额的滚动与超售比例机制,采用可调整的鲁棒优化方法建立数学模型,以削弱传统优化模型依赖假设和估计的严格性。论文最后进行了算例分析,验证了模型的可行性。
Traditional airline overbooking model is based on ticketing strategy which contains refunding or no-show behavior.Taking into account the uncertainty of the actual demand,unlike the existing literature using stochastic optimization or demand distribution estimation,a scroll with ticket quota mechanism is adopted in this paper,and adjustable robust optimization method is used to establish mathematical models to weaken the rigor of assumptions and estimations of traditional optimization models.At last,a numerical example is analyzed to verify the feasibility of the model.
出处
《中国管理科学》
CSSCI
北大核心
2013年第S1期98-102,共5页
Chinese Journal of Management Science
基金
国家自然科学基金资助项目(71202123
71301175)
关键词
超售
不确定需求
可调整鲁棒优化
收益管理
overbooking
uncertain demands
adjustable robust optimization
revenue management
