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航空收益管理中多航段舱位控制模型
引用本文:高强, 朱金福, 陈可嘉. 航空收益管理中多航段舱位控制模型[J]. 交通运输工程学报, 2005, 5(4): 82-85.
作者姓名:高强  朱金福  陈可嘉
作者单位:1.南京航空航天大学 民航学院, 江苏 南京 210016;;2.香港理工大学 工业与系统工程系, 香港 九龙
基金项目:高等学校博士学科点专项科研基金项目(20020287001)
摘    要:为了优化多航段舱位控制, 提高航空客运收益, 将旅客始-终点流按票价由高到低排序, 定义旅客始-终点流为决策变量, 以各始-终点流需求为约束条件, 以航线期望总收益为目标函数, 建立了多航段舱位控制问题的随机规划模型, 设计了模型求解遗传算法。算例分析结果表明, 收益计算结果最大误差为0.34%, 结果稳定, 模型可行。

关 键 词:交通管理   航空收益   舱位控制   随机规划   遗传算法
文章编号:1671-1637(2005)04-0082-04
收稿时间:2005-05-30
修稿时间:2005-05-30

Multi-leg seat inventory control model for airline revenue management
GAO Qiang, ZHU Jin-fu, CHEN Ke-jia. Multi-leg seat inventory control model for airline revenue management[J]. Journal of Traffic and Transportation Engineering, 2005, 5(4): 82-85.
Authors:Gao Qiang  Zhu Jin-fu  Chen Ke-jia
Affiliation:1. School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;;2. Department of Industry and Systems Engineering, Hongkong Polytechnic University, Kowloon, Hongkong, China
Abstract:In order to optimize multi-leg seat inventory control, improve airline revenue, multi-leg origin-derivation flows in terms of their fares were sorted, which were regarded as decision variables, the sum of every origin-derivation flow revenue expectation was set as object function, a stochastic program model for multi-leg seat inventory control was established, a genetic algorithm to solve the model was set up. The result using genetic algorithm to solve multi-leg seat inventory control problem shows that the computation maximum error of revenue is 0. 34%, revenue computation values are stable, the model is feasible. 1 tab, 1 fig, 13 refs.
Keywords:traffic management   airline revenue   seat inventory control   stochastic programming  genetic algorithm
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