Here’s a look at three areas where Lufthansa's AVIATAR is leading analytics-driven disruption to bring commercial aviation into a new era paid Teradata
As Dr. Christian Langer explains it, “predictive maintenance” in the airline industry some 40 years ago meant “looking into the engine, kicking the tires and saying, ‘This plane can go for another ride.’”
AVIATAR’s predictive analytics streamline operations with two key shifts. First, it unites data from multiple departments into a centralized hub; second, it allows airlines to take preemptive action by turning unscheduled events into scheduled events. “This is basically the way we’re able to predict future failure before it happens,” Langer says. “We can see that IDG failure might happen, and we get an alert that the corrective action is to change the oil.”
Aircraft on the ground — AOG for short — is a metric airlines use to measure how many planes have maintenance issues serious enough to keep them from flying. And it’s not a statistic they like to see in high numbers. When an aircraft breaks or becomes grounded, it can cost airlines up to $150,000 an hourSo SWISS turned to AVIATAR’s condition monitoring service to choreograph its entire fleet, with real-time data keeping the optimal number of aircraft in the clouds at any given time.
Beyond the metal, tires and wires of jet engines and landing gear, airlines have other moving parts, many of them human, that must run in sync. Imagine a scenario in which an employee in the operations control center of Lufthansa knows an hour beforehand that a plane won’t be ready for a 6 a.m. flight from Frankfurt to Hamburg. That means dealing with the passengers and potentially reshuffling crew members who need to be in Hamburg for their next flight.
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