Safran Aircraft Engines is a world-class designer, developer, producer and marketer of aircraft engines. With a legacy stretching back over 100 years, it’s the world’s number one producer of mainline commercial jet engines and Europe’s leading producer of military engines.
Lanner, now part of Twinn, has a long-standing relationship helping Safran leverage predictive digital twins. A recent project involved developing a flexible model to help improve operational performance at their primary facility south of Paris.
Safran had launched a major initiative to improve operational performance at the facility. Designed to help Safran reach its ambitions, the project focused on 5 key areas:
The model gives us an objective way to analyse all the possible scenarios, understand how complex processes affect each other and determine how we can best speed up lead times without compromising quality.”
From the outset, Safran wanted a single model for all five 5 lines. This would give them a future-proof solution that teams could use for a wide range of current and future scenarios.
“Although the 5 lines produce different part families, they have similar processes,” explained Eric Gaury, Twinn’s account lead. “A single model would allow Safran to simulate these complex, non-linear production processes in the most flexible and user-friendly way.”
Although we developed a single model, it needed the specificity to address two 2 key elements: quality and lead time.
Safran started by using the model to analyse 2 re-engineering opportunities: