Municipal Waste Sorting Equipment worked example
Supplier Risk with failure severity score of 18 score: a worked example in municipal waste sorting equipment
This scenario runs the supplier risk calculation on the strong side: failure severity score of 18 score, with every other input held at its documented default. Use it when ranking sorter, baler, conveyor, or spare parts suppliers for a procurement review or qualification audit.
The inputs for this scenario
- Failure severity score: 18 score (raised for this scenario; the documented default is 7)
- Occurrence likelihood score: 4 score (unchanged)
- Detection difficulty score: 5 score (unchanged)
Working through the calculation
- Applying the documented formula (Supplier risk score = severity score x occurrence score x detection score) to the inputs above produces each figure below.
- At this operating point the engine returns 9.85 score for supplier risk score (rpn), the number this scenario is built around.
- At this operating point the engine returns 18 score for severity score.
- At this operating point the engine returns 4 score for occurrence score.
- At this operating point the engine returns 5 score for detection score.
How this compares with the baseline
- Against the tool's baseline example, where failure severity score sits at 7 score and the headline result is 5.45 score, this scenario comes in 80.73% above the baseline at 9.85 score.
- Use it to triage suppliers and components for audits, dual sourcing, and incoming inspection during supplier qualification and periodic reviews. Treat this as a target state: the delta against the baseline quantifies what the improvement is worth before you commit to chasing it.
Results at a glance
- Supplier risk score (RPN): 9.85 score (headline result)
- Severity score: 18 score
- Occurrence score: 4 score
- Detection score: 5 score
Run it with your numbers
- Every input above is editable in the live Supplier Risk calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.