How do you calculate an inspection bottleneck risk score?

Multiply the severity, occurrence and detection scores together. Using severity 6, occurrence 4 and detection 3 gives a risk index of 4.55 on this calculator's scaled output, which you then compare against other inspection stations.

What is a good inspection bottleneck risk score?

Lower is better. There is no absolute pass line — you rank stations against each other and attack the highest scores first. Any station where severity alone is at the top of your scale deserves attention regardless of the product.

What do severity, occurrence and detection mean here?

Severity is how badly a bottleneck at this station hurts throughput or the customer, occurrence is how often the station chokes flow, and detection is how easily an overload is caught before it starves downstream — higher detection scores mean harder to catch.

Why multiply the three scores instead of adding them?

Multiplying makes a station that is bad on all three axes stand out sharply, which is the FMEA convention. It does mean a moderate score on every axis can outrank a single extreme axis, so always read the individual scores too.

How is this different from a standard process FMEA?

It applies the same severity-occurrence-detection logic specifically to inspection stations as flow constraints, rather than to product failure modes — the 'failure' being scored is the station becoming a throughput bottleneck.

How can I reduce a high inspection bottleneck score?

Cut occurrence by adding gauge capacity or automated vision, cut severity by decoupling the station with a buffer, or cut the detection score by adding an andon or takt alarm so an overload is caught immediately.

Precision Springs, Stampings & Micro-Formed Components calculator

Inspection Bottleneck Calculator

Inspection Bottleneck scoring is an FMEA-style risk index for the gauging and vision-check stations that constrain flow in a precision spring or micro-stamping cell. Quality engineers use it to rank which inspection steps are most likely to starve downstream operations, how often they choke, and how easily an overload slips by unnoticed. Because 100% dimensional inspection on tiny formed parts is often the slowest station on the floor, ranking these risks tells you where an extra gauge, an operator, or an SPC sampling plan buys the most throughput. It converts a vague 'inspection is our bottleneck' complaint into a comparable number.

What this calculator does

Estimate inspection bottleneck for precision springs, stampings and micro-formed components 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 precision springs, stampings and micro-formed components needs a defensible ranking against other precision springs, stampings and micro-formed components risks for the next review.
It multiplies severity, occurrence and detection scores into a single risk priority number for a given inspection choke point.

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 bottleneck severity score:
Inspection bottleneck occurrence score:
Inspection bottleneck detection score:

How to use the result

Use it during process FMEA reviews, capacity planning, or when deciding which inspection station to automate or add capacity to first.
Scores are subjective and ordinal — a risk number is only meaningful relative to other risks scored on the identical scale, and multiplying ordinal scales can hide a single dangerously high severity.

Current U.S. benchmarks

The producer price index for steel mill products stands at 348.53 (BLS, May 2026), up 6.7% from a year earlier. Quotes priced off last quarter's material cost miss this move.
The U.S. has 53,790 fabricated metal products establishments employing about 1,441,471 workers (Census County Business Patterns, 2023).

Common questions

How do you calculate an inspection bottleneck risk score? Multiply the severity, occurrence and detection scores together. Using severity 6, occurrence 4 and detection 3 gives a risk index of 4.55 on this calculator's scaled output, which you then compare against other inspection stations.
What is a good inspection bottleneck risk score? Lower is better. There is no absolute pass line — you rank stations against each other and attack the highest scores first. Any station where severity alone is at the top of your scale deserves attention regardless of the product.
What do severity, occurrence and detection mean here? Severity is how badly a bottleneck at this station hurts throughput or the customer, occurrence is how often the station chokes flow, and detection is how easily an overload is caught before it starves downstream — higher detection scores mean harder to catch.
Why multiply the three scores instead of adding them? Multiplying makes a station that is bad on all three axes stand out sharply, which is the FMEA convention. It does mean a moderate score on every axis can outrank a single extreme axis, so always read the individual scores too.
How is this different from a standard process FMEA? It applies the same severity-occurrence-detection logic specifically to inspection stations as flow constraints, rather than to product failure modes — the 'failure' being scored is the station becoming a throughput bottleneck.

Last reviewed 2026-05-12.