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Operational Risk in Airline Crew Scheduling: Do Features of Flight Delays Matter?

机译：航空公司船员调度的运营风险：行动延误的功能吗？

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摘要

Our work is motivated by the increasing demand in the aviation sector and simultaneously aggravated poor punctuality. The airlines play an important role in improving their service level and mitigate the profit risks incurred due to their poor resources planning. However, to identify and mitigate operational risks faced by the airlines is complicated, as they are coming from both internal and external factors. Due to the realistic nature, we explore the flying time characteristics, and further model the consecutive interdependent departure-arrival times. It is a key feature included in this study that has not been studied in literature. We characterize the flying time of each flight by the heteroscedastic regression model. The analytical closed-form for the recursive relationship of the expected departure and arrival times of connective flight legs is then carried out. Accordingly, we propose a novel data-driven bicriteria mathematical model in which the interdependent structures of the departure and arrival times of the consecutive flights is incorporated into the robust optimization. A column generation-based algorithm is developed to solve the proposed model. We find that, for more than 23% of the flights explored, the expected flying times are significantly influenced by its actual departure times. The real-data based computational examples identify that our proposed model sufficiently improves the reliability of the crew pairings decisions by reducing the total deviated time from the schedules with a slight increase of the total basic crew operations cost. Some managerial implications for robust crew pairing and determination of robustness level are discussed as well.
机译：我们的作品受到航空部门日益增长的需求，同时加剧了卑微性差。航空公司在提高服务水平方面发挥着重要作用，并减轻了由于资源规划贫困的利润风险。但是，要识别和减轻航空公司面临的运营风险复杂，因为它们来自内部和外部因素。由于现实性质，我们探索了飞行时间特征，进一步模特连续相互依存的脱离抵达时间。这是本研究中包含的关键特征，这些研究尚未在文献中进行过研究。通过异源复回模型，表征每个飞行的飞行时间。然后进行预期脱落和连接飞行腿的递归关系的分析闭合形式。因此，我们提出了一种新的数据驱动的Bicritiatia数学模型，其中连续航班的偏离和到达时间的相互依存结构被纳入鲁棒优化。开发了一种基于柱生成的算法来解决所提出的模型。我们发现，对于超过23％的探索航班，预期的飞行时间受到其实际出发时间的显着影响。基于实际数据的计算示例标识了我们所提出的模型通过减少从计划的总偏差时间来充分提高了机组配对决策的可靠性，以略有增加总基本的机组运营成本。还讨论了一些对强大的人员配对和确定鲁棒性水平的管理影响。

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  • 来源
    《Decision Line》 |2020年第6期|1455-1489|共35页
  • 作者

    Sun Xuting; Chung Sai-Ho; Ma Hoi-Lam;

  • 作者单位

    Shanghai Univ SHU UTS SILC Business Sch Shanghai 201899 Peoples R China;

    Hong Kong Polytech Univ Dept Ind & Syst Engn Hung Hom Kowloon Hong Kong Peoples R China;

    Hang Seng Univ Hong Kong Dept Supply Chain & Informat Management Hang Shin Link Siu Lek Yuen Shatin Hong Kong Peoples R China;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 23:32:00

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