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Liebherr signs predictive maintenance agreement with Azul

Azul offers numerous Brazilian and international destinations operating a fleet of Airbus A320neo, A330 and A330neo, Embraer 195/E1 and E2 as well as ATR72, among other aircraft type
Azul offers numerous Brazilian and international destinations operating a fleet of Airbus A320neo, A330 and A330neo aircraft, Embraer 195/E1 and E2 as well as ATR72, among other aircraft types © Azul

Liebherr-Aerospace (Liebherr) and Azul have signed a customer service health management agreement to enhance aircraft maintenance operations using Liebherr’s analytics solutions. Leveraging big data and Liebherr-Aerospace’s proprietary data platform, Artic, the OEM combines its in-depth system knowledge with extensive in-service support experience to deliver precise and efficient maintenance tools.

Through this agreement, Azul will benefit from predictive maintenance algorithms and trend monitoring applications, along with advanced technical support for the maintenance of Liebherr products, including bleed, air management, landing gear and flight control system components.

“The partnership with Azul will certainly enhance Liebherr’s Health Management solutions package, which is optimised to our customers’ needs. This new agreement highlights the growing demand from airlines for privileged support in integrating predictive maintenance into their activities, the main objective of which is to reduce flight interruptions,” said Joël Cadaux, Director Business & Services – Customer Services at Liebherr-Aerospace & Transportation SAS.

Azul’s Maintenance Director, Reuel Matos de Oliveira, added, “We are living a worldwide supply chain challenge in the aviation sector, which is why it is becoming increasingly important to plan the maintenance of our aircraft. The partnership with Liebherr will give us more predictability and efficiency in our operation, which is very complex and has several fleets.”

This collaboration reflects the increasing demand from airlines for support in implementing predictive maintenance to optimise operations and minimise disruptions.

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VP Sales & Business Development Americas
Tamar Jorssen
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