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分析机身MRO周转时间表现和老化飞机的影响.pdf

上传人: 小小 编号:612471 2025-02-12 29页 10.58MB

1、13th November 2024DublinAnalysing airframe MRO turn-time performance&impact of ageing aircraftAndrew Doyle,Senior Director Market DevelopmentCirium has brought together a full suite of aviation industry dataFor the first time,we have brought together the four core families of data at the heart of ai

2、r transportEach of these families is surrounded by high-value analytics from aircraft values to flight statusBecause the data is used everywhere it must consistent,complete&connected2ScheduleCodesAlliancesMCTFuture planConnect-ionsCabin fitFleetCabin fitTechnical specHours&cyclesAfter-marketAircraft

3、 valuesOwnersFlightStatus/OTPWeatherOOOIFlight planPositionDelay/cancelFares&TrafficTrip breakGlobal trafficQSIUS trafficUS ticketsGlobal ticketsFare offersWhat if we could enable you 3Identify the precise locations and dates of aircraft on the groundAccess maintenance specific data on top of flight

4、 activity information Compare the ground events of aircraft by airline,airport location or connected MROHave confidence in the analytics which are based on global gapless satellite-based flight tracking Use more informed analysis to predict the next scheduled maintenance checkMonitor and predict fut

5、ure aircraft maintenance events Build analyses using the most granular fleets intelligence Ground Events:the most advanced projected maintenance tool,based on the last actual maintenance checkThe industrys first global ground events analysis tool to base projected maintenance on when the last actual

6、 maintenance event occurredA fusion of Ciriums proprietary and comprehensive fleets(including interiors)and tracked utilization data with MRO locations and relationships dataDisplays all aircraft ground events that last for more than seven 4Projected Events Historical EventsNew Cirium Historical Gro

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本文介绍了Cirium公司如何利用其全面的数据分析工具,帮助航空公司优化飞机维护和运营。文章指出,Cirium首次整合了航空运输的核心四大数据家族,并围绕这些数据开展了高价值分析,如飞机价值评估、航班状态、维护时间表等。通过全球无缝卫星追踪,Cirium提供了基于实际维护事件的全球地面事件分析工具,可预测飞机未来的维护需求。文章以Emirates的飞机客舱翻新项目为例,展示了如何利用这种分析预测大型维护项目的进度和影响。此外,Cirium的数据分析还揭示了维护延误的趋势,并建议航空公司调查延误原因,并考虑采用预测性维护技术以减少未来的运营中断。通过案例分析,文章发现飞机的地面停留时间和年龄存在关联,并建议航空公司针对2026年的维护高峰期开始规划,以避免运营干扰。最后,Cirium与Mitiga合作,研究了气溶胶暴露对发动机的损害,并开发了相应的预防性维护策略。
如何利用Cirium的数据分析工具预测飞机维护检查的时间? Emirates航空公司如何成功完成了世界上最大的客机客舱翻新项目? 航空公司X在面对维护事件延误时,可以采取哪些策略来降低风险?
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