How do you calculate a renewable supply risk score?

Multiply the severity score by the occurrence score by the detection score. With severity 6, occurrence 4, and detection 3, the underlying product is 72; the calculator reports a normalized risk score of 4.55 on its scale.

What is a good renewable supply risk score?

Lower is better. There is no universal threshold, but teams typically set an action line and mitigate anything above it; the 4.55 result here is mid-range and worth watching rather than an immediate emergency.

Why multiply the three scores instead of adding them?

Multiplication makes a risk that is bad on all three axes escalate faster than one bad on a single axis, matching how compounding supply threats behave. A high severity paired with high occurrence and poor detection produces a disproportionately large number.

Severity versus occurrence versus detection?

Severity is how damaging a disruption would be, occurrence is how likely it is, and detection is how hard it is to catch before it affects production. Here severity 6 is the largest driver, so mitigation should focus on reducing impact or improving early warning.

How do I lower a supply risk score?

Attack the biggest factor. Dual-sourcing and buffer stock cut occurrence and severity, while supplier telemetry and lead-time monitoring cut detection difficulty; improving the detection score from 3 downward directly lowers the product.

Can I compare scores across different materials?

Only if every risk uses the same severity, occurrence, and detection definitions. Keep one scoring rubric across polysilicon, magnets, and resins so a 4.55 on one line means the same as a 4.55 on another.

Renewable Energy, Solar & Wind Manufacturing calculator

Renewable Supply Risk Calculator

Renewable Supply Risk turns three FMEA-style ratings, how severe a supply disruption would be, how often it is likely to occur, and how hard it is to detect before it hits, into a single risk priority number that ranks supply-chain threats to a renewable manufacturing line. Supply-chain managers, quality engineers, and procurement teams sourcing polysilicon, rare-earth magnets, or specialty resins use it to prioritize which supplier and material risks get mitigation first. With renewable supply chains exposed to concentrated geographies and volatile lead times, a consistent scoring scale lets you compare a wafer-shortage risk against a logistics-delay risk on equal footing. It is the number that decides where dual-sourcing and buffer stock go first.

What this calculator does

Estimate renewable supply risk for renewable energy, solar and wind manufacturing using production-ready inputs so teams can rank risks and decide which issue needs containment, controls, or escalation first.
Use it when renewable supply risk in renewable energy, solar and wind manufacturing needs a defensible ranking against other renewable energy, solar and wind manufacturing risks for the next review.
It multiplies severity, occurrence, and detection scores into a single renewable supply risk priority number for ranking and comparing supply-chain risks.

Formula used

Renewable supply risk score = renewable supply risk severity score × renewable supply risk occurrence score × renewable supply risk detection score
Use the same scoring scale across comparable renewable supply risk risks.

Inputs explained

Supply Disruption Severity:
Supply Disruption Occurrence:
Supply Chain Detection Difficulty:

How to use the result

Use it during supply-chain FMEA, supplier qualification, or annual risk reviews to rank which renewable material and vendor risks deserve mitigation.
The score is only meaningful when every risk uses the same scoring scale and definitions; a raw RPN can also hide a high-severity item behind a low occurrence or detection, so always inspect severity on its own.

Current U.S. benchmarks

The producer price index for copper and brass mill shapes stands at 559.593 (BLS, May 2026), up 76.8% from a year earlier. Quotes priced off last quarter's material cost miss this move. Global copper trades at $13,484 per tonne (IMF via FRED, May 2026).
Industrial electricity averages 8.66 cents per kWh across the U.S. (EIA, Apr 2026), up 5.5% from a year earlier. Energy-intensive steps carry this directly into unit cost.

Common questions

How do you calculate a renewable supply risk score? Multiply the severity score by the occurrence score by the detection score. With severity 6, occurrence 4, and detection 3, the underlying product is 72; the calculator reports a normalized risk score of 4.55 on its scale.
What is a good renewable supply risk score? Lower is better. There is no universal threshold, but teams typically set an action line and mitigate anything above it; the 4.55 result here is mid-range and worth watching rather than an immediate emergency.
Why multiply the three scores instead of adding them? Multiplication makes a risk that is bad on all three axes escalate faster than one bad on a single axis, matching how compounding supply threats behave. A high severity paired with high occurrence and poor detection produces a disproportionately large number.
Severity versus occurrence versus detection? Severity is how damaging a disruption would be, occurrence is how likely it is, and detection is how hard it is to catch before it affects production. Here severity 6 is the largest driver, so mitigation should focus on reducing impact or improving early warning.
How do I lower a supply risk score? Attack the biggest factor. Dual-sourcing and buffer stock cut occurrence and severity, while supplier telemetry and lead-time monitoring cut detection difficulty; improving the detection score from 3 downward directly lowers the product.

Last reviewed 2026-05-12.