How do you calculate a thermal network supplier risk score?

Multiply the three component scores: severity x occurrence x detection. With a severity of 6, occurrence of 4 and detection of 3 the raw product is 72, which the tool normalizes to a 4.55 score on its scale. Higher means more risk.

What is a good supplier risk score?

Lower is better. There is no universal threshold, but most district energy buyers set an internal action line (for example, anything in the top quartile of their supplier list) for mandatory corrective action plans or a second source.

Why multiply the scores instead of adding them?

Multiplication makes a high score on any single axis dominate. A supplier whose failures are catastrophic (high severity) but rarely caught (high detection) jumps the ranking even if occurrence is moderate, which matches real network risk.

What does the detection score mean here?

It rates how unlikely you are to catch a defect before the part is installed in the network. A high detection score means weak inspection or testing, so it raises risk; strong factory acceptance testing and incoming QC lower it.

Severity vs occurrence: which matters more for heat networks?

Neither alone. A leaking buried pipe joint has high severity because excavation is costly, while a meter calibration drift has high occurrence but lower severity. The score weighs both so you compare unlike equipment fairly.

Can I use the same scale for boilers and insulation suppliers?

Yes, that is the point. Anchoring severity, occurrence and detection to the same 1-10 definitions lets you put a CHP boiler supplier and a pipe insulation supplier on one sorted list.

District Energy & Thermal Network Equipment calculator

Thermal Network Supplier Risk Score Calculator

The Thermal Network Supplier Risk Score is an FMEA-style RPN tailored to district energy procurement, where a single failed plate exchanger or pump seal can take a heat network offline mid-winter. Sourcing engineers and asset managers use it to rank boiler, exchanger, pump, valve, meter, controls, pipe, insulation and storage suppliers on one common scale. It multiplies how bad a failure would be (severity), how often that supplier's parts cause issues (occurrence) and how likely you are to catch the defect before it reaches the network (detection). The product gives a single number you can sort a supplier list by, so quality reviews and dual-sourcing decisions focus on the suppliers that actually threaten network uptime.

What this calculator does

Score supplier risk for boilers, heat exchangers, pumps, valves, meters, controls, pipe, insulation, and thermal storage packages before procurement or bid release.
Use it when thermal network supplier risk in district energy and thermal network equipment needs a defensible ranking against other district energy and thermal network equipment risks for the next review.
It multiplies a supplier's impact severity, issue occurrence and detection control scores into one comparable risk number across all thermal network equipment categories.

Formula used

Thermal network supplier risk score = supplier impact severity score × supplier issue occurrence score × supplier detection control score
Use the same scoring scale across boilers, exchangers, pumps, valves, meters, controls, pipe, insulation, and storage suppliers.

Inputs explained

Supplier impact severity score:
Supplier issue occurrence score:
Supplier detection control score:

How to use the result

Use it during supplier qualification, annual vendor reviews, or when deciding which thermal network components need a second source or tighter incoming inspection.
It is a relative ranking tool, not a probability; the three scores are subjective ratings, so two reviewers must use the same anchored scale or the numbers are not comparable.

Current U.S. benchmarks

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.
Steel mill PPI stands at 348.53 (BLS, May 2026), up 6.7% from a year earlier. New factory orders are up 2.3% year over year (Census).

Common questions

How do you calculate a thermal network supplier risk score? Multiply the three component scores: severity x occurrence x detection. With a severity of 6, occurrence of 4 and detection of 3 the raw product is 72, which the tool normalizes to a 4.55 score on its scale. Higher means more risk.
What is a good supplier risk score? Lower is better. There is no universal threshold, but most district energy buyers set an internal action line (for example, anything in the top quartile of their supplier list) for mandatory corrective action plans or a second source.
Why multiply the scores instead of adding them? Multiplication makes a high score on any single axis dominate. A supplier whose failures are catastrophic (high severity) but rarely caught (high detection) jumps the ranking even if occurrence is moderate, which matches real network risk.
What does the detection score mean here? It rates how unlikely you are to catch a defect before the part is installed in the network. A high detection score means weak inspection or testing, so it raises risk; strong factory acceptance testing and incoming QC lower it.
Severity vs occurrence: which matters more for heat networks? Neither alone. A leaking buried pipe joint has high severity because excavation is costly, while a meter calibration drift has high occurrence but lower severity. The score weighs both so you compare unlike equipment fairly.

Last reviewed 2026-05-12.