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首页> 外文期刊>Transportation Research Part B: Methodological >Integrated flight scheduling and fleet assignment with improved supply-demand interactions
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Integrated flight scheduling and fleet assignment with improved supply-demand interactions

机译：综合航班调度和舰队分配，具有改善的供需相互作用

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摘要

Flight scheduling and fleet assignment are important steps of an airline planning process. In light of the reciprocal relationship between air transport supply and demand, a key element of these models is to devise effective methods to both incorporating estimation of total market demand and allocating passengers over the available itineraries in a specific market. In this paper, we present a novel mixed integer nonlinear flight scheduling and fleet assignment optimization model wherein air travel demand generation and allocation are simultaneously and consistently endogenized. Using a nested logit formulation, we jointly model competition among air travel itineraries and appraise the contribution of specific itinerary attributes to demand generation, therefore yielding a more comprehensive and explicit representation of supply-demand interactions. Computational testing based on realistic problem instances reveals that the model can optimize mid-size hub and-spoke networks within reasonable time. Further analyses illustrate the benefits that can be derived from the application of the proposed approach using real-world data for a major European airline. Results demonstrate that the proposed approach can significantly enhance operating profits by up to 6.9% and better reveal opportunities for demand stimulation against a conventional approach using inelastic trip generation. (c) 2021 Elsevier Ltd. All rights reserved.
机译：航班计划和舰队分配是航空公司规划过程的重要步骤。鉴于航空运输供需之间的互惠关系，这些模型的一个关键因素是将有效的方法设计成在特定市场中的可用行程中纳入全部市场需求和分配乘客的估计。在本文中，我们提出了一种新颖的混合整数非线性飞行调度和舰队分配优化模型，其中空行需求产生和分配同时且始终化。使用嵌套的Logit制度，我们共同模拟空中旅游行程中的竞争，并评估特定行程属性的贡献，从而提高供需相互作用的更全面明确的代表性。基于现实问题实例的计算测试表明，该模型可以在合理的时间内优化中型集线器和辐条网络。进一步的分析说明了可以使用所提出的方法的应用来源的益处，利用大型欧洲航空公司的真实数据。结果表明，该方法可以显着提高运营利润高达6.9％，更好地揭示使用非弹性行程的常规方法的需求刺激的机会。 （c）2021 elestvier有限公司保留所有权利。

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