How do you calculate an inspection risk priority number?

Multiply the severity, occurrence and detection scores. With ratings of 6, 4 and 3 on this line, the multiplied risk lands at about 4.55 on the calculator's normalized scale.

What is a good inspection risk score?

Lower is better. There is no universal threshold, but teams typically set an action line and address anything above it; a high detection score is the biggest red flag because the defect can escape.

Why weight detection so heavily for medical sensors?

A severe, frequent defect you reliably catch is contained; a severe defect you cannot detect reaches a patient. High detection difficulty combined with high severity is the worst quadrant.

RPN vs a simple severity ranking, which should I use?

Severity alone misses defects that are minor but rampant and undetectable. Multiplying all three surfaces risks that a severity-only view hides, which is why FMEA uses the product.

How do I lower an inspection bottleneck risk score?

Attack the highest of the three factors. Add automated vision or poka-yoke to cut detection difficulty, fix the process to lower occurrence, or design out the failure mode to reduce severity.

Can I compare scores across different sensor lines?

Only if every line uses the same scoring rubric. Because the scale is subjective, comparisons are valid within a consistent standard and misleading across teams that anchor differently.

Wearable Medical Sensors calculator

Inspection Bottleneck Calculator

This calculator applies FMEA-style risk scoring to the inspection step that most often becomes the throughput bottleneck on a wearable sensor line. Quality engineers rate how severe an undetected defect would be, how often it occurs, and how hard it is to catch, then multiply the three into a single risk priority number. In wearable medical sensors, where an escaped electrode or skin-adhesive defect reaches a patient, detection difficulty carries real weight and the inspection queue is frequently the slowest station. Ranking risks this way tells you which inspection to reinforce, automate or re-sequence first rather than reacting to whatever failed most recently.

What this calculator does

Estimate inspection bottleneck for wearable medical sensors using production-ready inputs so teams can rank risks and decide which issue needs containment, controls, or escalation first.
Use it when inspection bottleneck in wearable medical sensors needs a defensible ranking against other wearable medical sensors risks for the next review.
It multiplies severity, occurrence and detection ratings into a single inspection risk priority number for comparing and ranking bottleneck risks.

Formula used

Inspection bottleneck risk score = inspection bottleneck severity score × inspection bottleneck occurrence score × inspection bottleneck detection score
Use the same scoring scale across comparable inspection bottleneck risks.

Inputs explained

Inspection escape severity:
Defect occurrence likelihood:
Inspection detection difficulty:

How to use the result

Use it during process FMEAs, inspection redesign, or when deciding which inspection station to add capacity or automated vision to first.
The score is ordinal, not linear; a 60 is not literally twice as risky as a 30, and identical products can produce very different numbers if teams do not agree on a common scoring scale.

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).
U.S. manufacturing runs at 75.6% of capacity with new factory orders at $657B per month (Federal Reserve and Census, May 2026).
The U.S. has 11,261 computer and electronic products establishments employing about 815,443 workers (Census County Business Patterns, 2023).

Common questions

How do you calculate an inspection risk priority number? Multiply the severity, occurrence and detection scores. With ratings of 6, 4 and 3 on this line, the multiplied risk lands at about 4.55 on the calculator's normalized scale.
What is a good inspection risk score? Lower is better. There is no universal threshold, but teams typically set an action line and address anything above it; a high detection score is the biggest red flag because the defect can escape.
Why weight detection so heavily for medical sensors? A severe, frequent defect you reliably catch is contained; a severe defect you cannot detect reaches a patient. High detection difficulty combined with high severity is the worst quadrant.
RPN vs a simple severity ranking, which should I use? Severity alone misses defects that are minor but rampant and undetectable. Multiplying all three surfaces risks that a severity-only view hides, which is why FMEA uses the product.
How do I lower an inspection bottleneck risk score? Attack the highest of the three factors. Add automated vision or poka-yoke to cut detection difficulty, fix the process to lower occurrence, or design out the failure mode to reduce severity.

Last reviewed 2026-05-12.