Industrial Heat Pumps & Electrified Thermal Systems calculator
Heat Pump Supplier Risk Score Calculator
Supplier Risk produces a prioritisation score for the components and vendors feeding an industrial heat pump or electrified thermal program — compressors, scroll sets, controls, and refrigerant supply — using an FMEA-style severity x likelihood x detection model, then crediting your mitigation efforts. Supply chain and procurement engineers use it to rank which suppliers deserve dual-sourcing, safety stock, or audit attention before a shortage stalls a line. With compressor and semiconductor lead times still volatile and refrigerant supply under phase-down pressure, a single sole-sourced part can hold an entire build hostage. This calculator turns that intuition into a comparable number so the highest-risk vendors rise to the top of the action list.
What this calculator does
- Score supplier risk for industrial heat pump components by combining impact severity, disruption likelihood, detection difficulty, and mitigation strength.
- Use it when supply chain and engineering teams are comparing risk across compressors, drives, valves, controls, refrigerants, heat exchangers, and pressure vessels.
- It computes a mitigated supplier risk score by multiplying impact severity, disruption likelihood, and detection difficulty, then subtracting a credit for mitigation strength.
Formula used
- Supplier risk score = supply impact severity × disruption likelihood × detection difficulty
- Mitigated supplier risk score = supplier risk score - mitigation strength credit
Inputs explained
- Severity of supply disruption impact:
- Likelihood of a disruption occurring:
- Difficulty of detecting the disruption early:
- Strength of mitigation and dual-sourcing:
How to use the result
- Use it to rank suppliers for dual-sourcing, safety-stock, and audit priority during heat pump component sourcing and ramp planning.
- Multiplying ordinal 1-10 scores is a relative ranking tool, not an absolute probability; scores are only as consistent as the rubric your team applies.
Current U.S. benchmarks
- Global copper trades at $13,484 per tonne (IMF via FRED, May 2026), up 41.5% in a year, and U.S. industrial electricity averages 8.66 cents per kWh. Both feed electrified-hardware unit economics.
- The U.S. has 21,668 machinery manufacturing establishments employing about 1,086,146 workers (Census County Business Patterns, 2023).
Common questions
- How do you calculate a supplier risk score? Multiply severity by likelihood by detection difficulty for the raw risk, then subtract a mitigation credit. With severity 8, likelihood 6, and detection 5 the raw score is 240, and after the mitigation strength credit the model returns a mitigated score of 6.55 on its normalised scale.
- What do severity, likelihood, and detection mean here? Severity is how badly a disruption hurts the line, likelihood is how probable it is, and detection difficulty is how hard the problem is to catch before it bites. This mirrors FMEA's S x O x D logic adapted to supplier disruption rather than product failure modes.
- Why subtract mitigation strength instead of multiplying? Dual-sourcing, safety stock, and supplier audits reduce residual exposure even when the underlying severity and likelihood are unchanged. Treating mitigation as a credit shows the net risk you still carry after your countermeasures, which is what should drive priority.
- What is a high supplier risk score? Because the three factors multiply, scores climb fast — a part scoring 8/6/5 is already a serious concern. Rank suppliers relative to each other and set an action threshold; anything in your fleet's top decile warrants a dual-source plan.
- How is this different from a generic vendor scorecard? A scorecard rates past performance; this scores forward disruption risk and explicitly rewards the mitigations you have in place. Use them together — performance history feeds your likelihood and detection scores.
Last reviewed 2026-05-12.