FMEA
Severity × Occurrence × Detection — prioritise by RPN.
The risk priority number ranks what to fix first. Improving detection (not just severity) is a real lever — watch the RPN drop when detection improves.
What this method tells you
FMEA is one of the analytical methods Niobia AI surfaces inside the rca & 8d branch. The short readout is: The risk priority number ranks what to fix first. Improving detection (not just severity) is a real lever — watch the RPN drop when detection improves.
Where it fits in Niobia
Niobia keeps this method connected to the surrounding workflow, so teams can move from risk & fmea into adjacent methods without reformatting data or rebuilding the context from scratch.
Method-specific output, not just a screenshot
Niobia packages fmea alongside the rest of the rca & 8d stack, so the result stays connected to the raw inputs, the upstream context, and the next method the team needs to run.
Frequently asked
What does FMEA help a team understand?
FMEA sits inside Niobia AI's rca & 8d workflows and helps teams turn raw process, materials, or quality signals into a defensible engineering readout.
When should engineers use FMEA?
Use FMEA when the question is better answered by that specific method than by a generic summary: it provides the method-specific signal, tradeoffs, and context the broader workflow depends on.
What should I read alongside FMEA?
Start with the sibling methods in the same capability branch to see how Niobia AI connects this method to the wider workflow.