At one of Rolls-Royce’s manufacturing facilities, inspection is carried out to measure the moment weight of rotating components, to determine optimal alignment relative to the engine.
However, these measurements do not remain constant. With data mining and machine learning, surprising trends or relationships are constantly extracted.
Your challenge is to produce an algorithmic model that allows periodic adjustment throughout the manufacturing process, in tandem with identified trends and new data inputs.
Yes, you are called to create a super-human decision-making engine for aero-engine inspection, using data analytics and AI. How exciting is that?