AOG 支持以避免中斷.pdf

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1、www.SE N T R Y.A E R OA.O.G.IS IN O U R D.N.A.AOG SUPPORT TO AVOID DISRUPTION www.SE N T R Y.A E R OA.O.G.IS IN O U R D.N.A.OVERVIEW Impact of Predictive Aircraft Maintenance on MRO Current trends in the MRO Market Sentry Aerospares and Innovative SolutionsIndustry hurdles to overcome Future evoluti

2、on of Predictive Aircraft Maintenance in MRO www.SE N T R Y.A E R OA.O.G.IS IN O U R D.N.A.Impact of Predictive Aircraft Maintenance on MROObjective:Align MRO with operational requirements Current challenges:Unscheduled removals cause disruption,increased costs and passenger dissatisfaction.PAMs Rol

3、e:Influences the entire lifecycle:defect,maintenance,repair,and replacement.Increases the predictability of events.Aligns with inventory planning and aircraft dispatch reliability.www.SE N T R Y.A E R OA.O.G.IS IN O U R D.N.A.Primary Hurdles in Predictive Aircraft Maintenance Key Hurdles:Legacy plat

4、forms lack component-level predictive systems.Siloed data environments between OEMs,MROS,and operators.Limited monitoring of on condition components.Lack of operational data impacting component reliability.Work-scopes for non-failed components.Supply Chain Challenges:Lack of transparency,extended re

5、pair times,and delivery delays.www.SE N T R Y.A E R OA.O.G.IS IN O U R D.N.A.Sentry Aerospares:Leveraging Data for EfficiencyData-Driven Strategy:Focus on supporting unscheduled removals.Ensures availability of critical spares at strategic locations.Key Focus:Data analytics revolutionizing inventory

6、 management.Minimizing disruptions to operators.Supporting A.O.G.spares with innovative solutions.www.SE N T R Y.A E R OA.O.G.IS IN O U R D.N.A.Future of PAM in MRO Industry Evolution over the Next Decade:Greater collaboration between operators,OEMs and MROs.Sharing and transparency of predictive ma

7、intenance data.Advancement of platform capabilities for better access to all stakeholders.www.SE N T R Y.A E R OA.O.G.IS IN O U R D.N.A.Sentrys Benefits from Predictive Solutions Operational Focus:Positive impact on supply chain via quality and distribution.Analytics-based approach to A.O.G support.Ensuring high level service levels despite industry challenges.Technological Opportunities:Refining inventory based on predictive data.Harvesting external data sets for improved decision making.Future developments using AI for transactional data analysis.