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:
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: