| 航空收益管理中多航段舱位控制模型 |
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| 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. |
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| 作者姓名： | 高强 朱金福 陈可嘉 |
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| 作者单位： | 南京航空航天大学,民航学院,江苏,南京,210016;香港理工大学,工业与系统工程系,香港,九龙 |
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| 基金项目： | 高等学校博士学科点专项科研基金项目（20020287001） |
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| 摘 要： | 为了优化多航段舱位控制，提高航空客运收益，将旅客始一终点流按票价由高到低排序，定义旅客始一终点流为决策变量，以各始一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。
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| 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年5月30日 |
Multi-leg seat inventory control model for airline revenue management |
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| 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. |
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| Authors: | Gao Qiang Zhu Jin-fu Chen Ke-jia |
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| 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. |
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| Keywords: | traffic management airline revenue seat inventory control stochastic programming genetic algorithm |
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