Parts at risk, failures anticipated
An international airline operates about fifty aircraft of its own. A supplier bulletin comes in urgently: a batch of parts shows a critical defect. How many aircraft are affected, and when should they be grounded?
"Batch B737-ENG-2456 of axial compressors manufactured by AeroParts Ltd shows a cracking risk."
Fictional bulletin, used here to illustrate the process without exposing real data.
What maintenance needed to get
The fleet holds thousands of parts sourced from a vast network of suppliers and subcontractors. The part didn't affect every aircraft, but replacing it was critical.
Measure impact, right away
Operational and financial, by clearly identifying which aircraft were affected.
See the fleet in real time
Status of aircraft currently in flight, and flights already scheduled.
Maintenance on the fly
An emergency plan to service each aircraft as soon as it touches down.
Keep the schedule
Swap grounded aircraft for available ones, protecting scheduled departures as best as possible.
Six entities, six relationships
The graph of the fleet and its supply chain
Aircraft : registration, model, entry-into-service date. Part: identifier, name, manufacturing batch, expected lifespan, certificates. Supplier : name, country, certification.
Maintenance shop: location and accreditation. Flight: number, date, origin, destination. Inspection: date, result, anomalies detected.
It's this mesh of connections that lets you go from a batch number to a shop time slot, without ever leaving the same structure.
From bulletin to plan, in seconds
The batch becomes a path, not a search
The graph finds every axial compressor whose manufacturing batch is affected and whose supplier is identified, then traces up to the aircraft that contain them: the same part number might be installed on three aircraft, another on just one.
From there, the flights scheduled for these aircraft over the next seven days display themselves: the operational impact reads on the same screen as the cause.
The best time to intervene
The aircraft comes to the shop by itself
Aircraft F-AB024 is affected and needs to go to the shop. It's maintained in Stockholm, and it happens to be flying flight AF1049 from Casablanca to Stockholm on August 25. So that's the best window: no flight to cancel, no ferry flight to arrange.
Replicated across the whole fleet, this reasoning turns an emergency plan into a sequence of on-the-fly interventions, timed to the existing flight schedule.
The demonstrated value
Responsiveness
Going from days of manual research to seconds, on a question that arrives without warning.
Business impact
Better delay management, reduced regulatory risk, improved traceability.
Network view
A clear read on the dependencies between suppliers, parts, aircraft, shops and flights.
Beyond this case, the same structure offers a systemic view of the fleet and its supply chain: it strengthens operational resilience, regulatory compliance and the quality of service delivered to passengers.
What about your fleet?
We model a real scope, a few aircraft, their critical parts, your shops, and replay a supplier bulletin under real conditions.
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