航空收益管理中多航段舱位控制模型

高强; 朱金福; 陈可嘉

航空收益管理中多航段舱位控制模型

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

详细信息

作者简介:
高强(1973-)，男，陕西西安人，南京航空航天大学博士研究生，从事航空公司收益管理研究

中图分类号: F560
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- 文章访问数: 293
- HTML全文浏览量: 128
- PDF下载量: 333
- 被引次数: 0
出版历程
- 收稿日期: 2005-05-30
- 刊出日期: 2005-12-25

Multi-leg seat inventory control model for airline revenue management

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

More Information

Author Bio:
Gao Qiang(1973-), male, doctoraI student, 86-25-84895388, still.gao@126.com

摘要

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。
- 交通管理 /
- 航空收益 /
- 舱位控制 /
- 随机规划 /
- 遗传算法
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.
- traffic management /
- airline revenue /
- seat inventory control /
- stochastic programming /
- genetic algorithm

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图 1 算法收敛速度

Figure 1. convergence velocity of algorithm

下载: 全尺寸图片幻灯片

表 1 ODF价格与需求

Table 1. Fares and demands of ODF

下载: 导出CSV

参考文献(13)

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