Aftermarket, Field Service & Service Parts worked example
Parts Availability Risk Score with customer downtime impact of 4.5 1-10: a worked example
This worked example runs the parts availability risk score numbers for a tougher week than the baseline: customer downtime impact of 4.5 1-10 instead of the typical 9 1-10. Score service parts availability risk using customer impact, stockout likelihood, and detection or recovery difficulty.
The inputs for this scenario
- Customer downtime impact: 4.5 1-10 (the input this scenario stresses; the baseline uses 9)
- Stockout likelihood: 7 1-10 (held at the documented default)
- Recovery difficulty: 6 1-10 (held at the documented default)
Working through the calculation
- The calculation starts from the formula this tool documents: Parts availability risk score = service impact severity × stockout likelihood × detection or recovery difficulty.
- Parts availability risk score works out to 5.75 score at these inputs, and this is the headline figure for the scenario.
- Customer downtime impact works out to 4.5 1-10 at these inputs.
- Stockout likelihood works out to 7 1-10 at these inputs.
- Recovery difficulty works out to 6 1-10 at these inputs.
How this compares with the baseline
- Against the tool's baseline example, where customer downtime impact sits at 9 1-10 and the headline result is 7.55 score, this scenario comes in 23.84% below the baseline at 5.75 score.
- Use it during service-parts planning reviews to rank SKUs for stocking, sourcing, or escalation decisions before customers experience downtime. A result at this level usually justifies acting on the stressed input before touching anything else, because every other figure in the table is downstream of it.
Results at a glance
- Parts availability risk score: 5.75 score (headline result)
- Customer downtime impact: 4.5 1-10
- Stockout likelihood: 7 1-10
- Recovery difficulty: 6 1-10
Run it with your numbers
- To rerun this with your own numbers, open the live Parts Availability Risk Score calculator, set customer downtime impact to your actual value, and adjust the remaining inputs to match your operation.
Last reviewed 2026-05-12.