AFI KLM E&M is to deploy its Prognos for Aircraft predictive maintenance solutions to Norse Atlantic Airways’ Boeing 787 fleet.

The implementation of the MRO provider’s suite will aim to maximise the value and impact of maintenance programmes designed by AFI KLM E&M for the Norwegian airline’s aviation operations.

Prognos for Aircraft combines big data and AI in order to optimise the scheduling of component and equipment maintenance operations.

In particular, it enables users to anticipate future component breakdowns and to organise shop visits for inspection, testing and repairs, thereby avoiding AOG situations and their negative impact on operations.

Derk Nieuwenhuijze, vice president of digital, marketing and communication at AFI KLM E&M, said: “Norse Atlantic Airways’ decision to enlist AFI KLM E&M’s predictive maintenance solutions follows on from the component support agreement signed in 2022.

“Availability was also a key component of that agreement, which provided access to a parts pool and MBK, and the Prognos application adds a further level of security, control and optimization to our customer’s operations.”

Thom-Arne Norheim, chief operating officer at Norse Atlantic Airways, said: “For an airline, keeping aircraft in the sky for longer is of course one of our most important objectives.

“The foresight provided by predictive maintenance, which aims to anticipate problems rather than dealing with them as they arise, is therefore extremely advantageous, and AFI KLM E&M’s Prognos suite enables us to lean in to this approach.

“For us, this will be a vector for progress in the management and organisation of maintenance operations, and by extension a beneficial means of reducing costs in this area.”

PREDICTIVE AIRCRAFT MAINTENANCE CONFERENCE 2023

On November 27-28, MRO Management and its parent company Real Response Media will host the Predictive Aircraft Maintenance Conference 2023 at the Ham Yard Hotel in London, to explore the future of predictive maintenance, bringing together senior level executives from airlines, OEMs, MRO specialists and big data experts.

Attendees will discover how to get the best out of predictive maintenance while overcoming the greatest challenges. Case studies will highlight best practices and explore how companies are successfully collaborating with industry partners, while panel discussions will explore the major topics from the perspective of all stakeholders.

To learn more about the event and for more information on how to register, visit predictiveaircraftmaintenance.com