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Airline short-term maintenance manpower supply planning

机译:航空公司短期维修人力供应规划

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摘要

It is essential that airlines efficiently perform aircraft maintenance in order to ensure aviation safety and schedule punctuality. Traditionally, the arrangement of the maintenance manpower supply has been based on staff experience, and has been performed manually following simple rules. This is not only time-consuming but often ineffective. In this research we consider technicians with multiple types of aircraft maintenance certificates incorporated with three flexible management strategies and the related operating constraints to develop a mathematical programming model. With suitable modifications, eight different flexible strategic models, associated with different strategy combinations, can be generated to help an airline effectively manage its maintenance manpower supply. The models are formulated as mixed integer programs. Because the problem sizes of the proposed models are expected to be huge in real applications, we have developed a solution algorithm to efficiently solve the problems. We employed the mathematical programming solver, CPLEX, to reach a solution for all the problems. Finally, to evaluate the models and solution algorithm developed in the research, we performed a case study using the operating data from a leading Taiwan airline. The preliminary results indicate that the proposed models, and the solution algorithm, are both efficient and effective.
机译:航空公司必须有效地进行飞机维护,以确保航空安全和准时。传统上,维修人力供应的安排是基于员工的经验,并按照简单的规则手动执行。这不仅耗时,而且往往无效。在这项研究中,我们考虑了拥有多种类型飞机维修证书的技术人员,结合了三种灵活的管理策略和相关的操作约束,以开发数学规划模型。通过适当的修改,可以生成八种不同的灵活战略模型,与不同的策略组合相关联,以帮助航空公司有效地管理其维修人力供应。这些模型被表述为混合整数程序。由于所提出的模型在实际应用中预计问题量很大,因此我们开发了一种求解算法来有效地解决问题。我们使用数学规划求解器 CPLEX 来为所有问题找到解决方案。最后,为了评估研究中开发的模型和求解算法,我们利用台湾一家领先航空公司的运营数据进行了案例研究。初步结果表明,所提模型和求解算法均具有高效性和有效性。

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