Securing the aerospace supply chain against supplier drift
Deploying predictive AI to anticipate supplier delays, secure OTD, and ensure reliable large-scale aeronautical production.
Contexte
In the aeronautical industry, production Supply Chain reliability is a must. Airbus was facing recurring supplier delivery delays for A320 cabin components, impacting final assembly line (FAL) rates and driving up costs. The goal was to shift from reactive shortage management to proactive anticipation of risks.
Solution
We deployed a Machine Learning algorithm on the Skywise data platform, capable of predicting logistics drift risks months in advance. By cross-referencing order history and supplier performance data, the solution pushes qualified alerts to procurement teams to secure supply chains upstream.
Bénéfices
- Ensuring production schedule reliability thanks to on-time delivery (OTD) from suppliers
- Reduced stockout costs on the assembly line through continuous flow
- Lower logistics expenses for emergency shipments by anticipating disruptions
- Transforming raw data into a direct and measurable driver of operational performance
"Our challenge was to turn a wide variety of complex data into actionable insights. By integrating this predictive model into our core procurement processes, we enabled our teams to anticipate disruptions with unprecedented accuracy. It is a concrete example of AI serving industrial resilience."
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