Robust Efficiency of Resource Schedules in the Airline Industry

该项目涉及航空业中飞机和机组人员的稳健和经济高效的调度。为了构建既经济高效又稳定灵活的航线资源调度，需要开发新的数学模型和优化技术。另外的工作涉及现有的空中交通模拟框架，该框架将通过现实的延迟发生器和实际的恢复技术加以改进。对历史延迟数据的智能数据分析以及延迟风险的决策规则和统计分布的后续推导，使资源调度的评估接近现实。

The project deals with the robust and cost-efficient scheduling of aircraft and crews in the airline industry.Novel mathematical models and optimization techniques shall be developed in order to construct airline resource schedules that are not only cost-efficient but also stable and flexible with regard to operational disruptions.Additional work deals with an existing air traffic simulation framework that shall be refined by a realistical delay generator and practical recovery techniques.An intelligent data analysis of historical delay data and a subsequent derivation of decision rules and statistical distributions for delay risks enable an evaluation of resource schedules close to reality.