Optimizing Data : Taking Advantage of Smart Aircraft James KORNBERG Director Innovation AF KL Engineering & Maintenance jakornberg@airfranceklm.com MRO Europe - London, October 14th 2015

AFI KLM E&M, a multi-product MRO with nose-to-tail adaptive solutions GLOBAL No.2 IN ITS MARKET 14,000 EMPLOYEES Engine Aerostructure Components 3,134 TOTAL REVENUES 1,300+ AIRCRAFT IN COMPONENT SUPPORT AFI KLM E&M MRO Solutions Airframe 35% CUSTOMER TURNOVER Cabin Modifications ENGINE SHOPVISITS PER YEAR >400 Additional Services Total Care 2014 & 2015 MRO OF THE YEAR Airline Economics Best Component MRO Aircraft Technology E&M

AFI KLM E&M Worldwide Network

Technical Design : a combination of Aircraft and IT knowledge Business Unit Part SAR PROGRAMMING COMPLETED AIRCRAFT/GROUND REAL LIFE: MCC EXPERIMENATION 3 MONTHS (JULY / SEPT 2015) Decision tree Pump OK Pump Failed MATHEMATIC INDICATORS COMPLETED DECISION TREE COMPLETED MCC INTERFACE BIG DATA INFRASTRUCTURE FULFILLING BUSINESS UNIT REQUIREMENTS IT Part : AF/KL Big Data Infrastructure Prediction Maintenance SAR Files Raw data Storing Predictive KPI Decision Tree KPI Computing DATA Streaming processing AF/KL Data Scientist

USER/MACHINE INTERFACE at the AFI Maintenance Control Centre on the A380

USER/MACHINE INTERFACE at the AFI KLM E&M Paris Maintenance Control Centre on the A380 Focusing on predictive and curative maintenance for three components: feed tank pumps, transfer pumps, and pressure switchs (SAR17 et 18)

Involve the end user : Technicians and MCC Challenges Have the right Innovation culture : innovation is not only about technology Involve the end user : Technicians and MCC Access to data automatically, easier with E-enable aircraft Algorithms development and test Supply Chain : not to have a No Fault Found on the component removed OEMs / OAMs exchange of information Feed reliability improvement initiatives

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