GE Aviation is investing heavily in additive manufacturing to help develop the next line of jet engines. As they develop these skills, they seek to not only make better products, but use this to get an edge in delivering new engines faster.
Rolls-Royce is looking to machine learning to optimise how it maintains over 13,000 jet engines currently flying around the world
GE Aviation gains efficiency while reducing weight and complexity on its way to proving that widespread additive manufacturing is viable with critical jet engine components.
Rolls-Royce is the current marker leader in the wide-body aircraft segment. The intense competition in the market results in manufacturers willing to sell their products without profit, but capture significant value from the MRO (maintenance, repair and overhaul) business driven by digital data. As a result, digital technologies not only transform Rolls-Royce’s product supply chain from initial concept to aircraft delivery, but also the company’s service offerings and aftermarket supply chain. Now the question is how can Rolls-Royce develop its existing workforce to be more adaptable, change-ready and digitally savvy?
