Analytical framework for airline revenue management and network planning
Analytical framework for airline revenue management and network planning
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航空公司收入管理和网络规划的分析框架
DOI：
10.1057/rpm.2015.39
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发表时间：
2014
影响因子：
1.6
通讯作者：
Grauberger
中科院分区：
文献类型：
--
作者：
Grauberger
传统的航空公司收益管理（RM）系统假设每个客舱和出发都有一个稳定的运力。运力是后续优化步骤的关键输入，以确定库存控制，从而根据既定的价格点、到来的需求、剩余时间和出发前的剩余座位，在整个预订范围内实现收入最大化。然而，当航空公司或其竞争对手进行战略变革时，这种控制的有效性和稳健性就会受到影响。例如，由于设备交付延迟而经常发生的容量干扰，由于需求预测不准确而导致的机队分配重新优化，技术故障或其他操作问题都会影响RM决策的有效性。航空业广泛采用一套标准指标来评估给定网络的性能。每可用座位公里/英里收入、每可用座位公里/英里成本、客座率和收益等指标通常通过提供航空公司业绩的时间序列视图来支持管理层。然而，确定业绩下降的主要原因，或者哪些市场可能提供收入改善的机会，是一项更为困难的任务。为了支持航空公司的战略决策，提出了一个网络绩效评估框架，由RM和网络计划与调度共同使用。该框架所产生的建议绝对不应取代日常的RM和调度决策，但将指导高级管理层在定价、机队分配或航线规划方面确定潜在的战略变化。之后，可以使用该框架对确定的区域进行更细粒度的分析，这将遵循航空公司的标准战术流程。在本文中，我们将寻求改进容量部署和RM策略的方法，同时确保在常规容量干扰甚至容量意外变化下的定价一致性和更健壮的RM。
Traditional airline revenue management (RM) systems assume a stable schedule with a given capacity on each cabin and departure. The capacity is a key input to subsequent steps of optimization for determining inventory controls that would maximize revenues throughout the booking horizon, based on the established price points, demand to come, time left and seats left until departure. However, as an airline or its competitors make strategic changes, the effectiveness and robustness of such controls is impacted. For instance, capacity disturbances that occur very often because of equipment delivery delays, fleet assignment re-optimization because of inaccurate demand forecasts, technical failures or other operational issues all affect the effectiveness of RM decisions.The airline industry has widely adopted a set of standard metrics in evaluating the performance of a given network. Indicators such as Revenue per Available Seat-Kilometres/Miles, Cost per Available Seat-Kilometres/Miles, Load Factor and Yield support the management by usually offering a time-series view of the airline’s performance. However, identifying the main contributors of a performance drop, or which markets may offer opportunities for revenue improvement, is a more difficult task. To support the airline’s strategic decision making, a network performance evaluation framework is proposed, to be jointly used by RM and Network Planning & Scheduling. The recommendations that this framework would produce should definitely not replace the day-to-day RM and Scheduling decisions, but will guide the senior management in identifying potential strategic changes in terms of pricing, fleet assignment or route planning. Afterwards, more granular analysis can be done on the areas identified by using this framework, which would follow the standard tactical processes of an airline. In this article we will seek ways of improving both capacity deployment and RM strategies, while ensuring pricing consistency and a more robust RM under regular capacity disturbances and even under unexpected changes in capacity.
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作者：
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发表时间：
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期刊：
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