Fixture, Gauge & Workholding Management calculator
Gauge Availability Risk Calculator
Gauge Availability Risk scores how dangerous it is when an inspection gauge, fixture, or workholding device is not available when a job needs it. Quality engineers and gauge-crib managers use it to rank which gauges deserve duplicates, faster calibration turnaround, or tighter check-out control before a missing gauge stalls a line or forces an uninspected ship. It matters because a single shared go/no-go gauge or CMM fixture out for calibration can hold a whole work center hostage, and you rarely have budget to duplicate everything. An FMEA-style multiplicative score surfaces the gauges where shortage severity, frequency, and poor visibility line up — the ones that quietly cause the most disruption.
What this calculator does
- Rank the risk that required gauges or inspection fixtures will not be calibrated, available, working, or in the right location when production needs them.
- Use it when gauge shortages, calibration holds, damaged gauges, or shared inspection fixtures threaten production or shipment release.
- It multiplies three scores — gauge shortage severity, unavailability occurrence, and availability detection weakness — into one risk score for prioritizing gauge and fixture action.
Formula used
- Gauge Availability Risk score = gauge shortage severity score × gauge unavailability occurrence score × availability detection weakness score
- Use the same scoring scale across comparable fixture, gauge, workholding, and inspection risks.
Inputs explained
- Gauge shortage severity score: Score impact based on shipment hold risk, production stop risk, customer requirement, or lack of alternate measurement method.
- Gauge unavailability occurrence score: Score occurrence using calibration history, lost-gauge incidents, fixture sharing conflicts, repair backlog, or usage frequency.
- Availability detection weakness score: Score detection weakness based on how early current systems show calibration due dates, location conflicts, or unavailable gauges.
How to use the result
- Use it during gauge-crib and workholding reviews to decide which devices need duplicates, calibration scheduling, or check-out controls.
- Scores are judgment-based and the multiplicative scale is non-linear, so use them to rank gauges against each other, not as an absolute downtime or cost figure.
Current U.S. benchmarks
- The U.S. has 14,378 furniture and related products establishments employing about 355,594 workers (Census County Business Patterns, 2023).
Common questions
- How do you calculate gauge availability risk? Multiply gauge shortage severity by unavailability occurrence by availability detection weakness, each on a consistent scale. With 7, 5, and 4 the calculator returns a 5.55 risk score, flagging the gauge for review.
- What is a good gauge availability risk score? Lower is better. High scores — where a critical gauge is often unavailable and you find out too late — call for a duplicate or scheduling fix; low scores mean a backup exists or shortages are rare. The 5.55 here is mid-to-high and worth action.
- Why multiply the three gauge scores instead of adding them? Multiplication follows FMEA logic: a gauge is truly risky only when a shortage hurts, happens often, and is hard to see coming. Multiplying makes a gauge that is bad on all three dominate the ranking, while adding would let one low factor mask two high ones.
- What does availability detection weakness mean? It rates how poorly your system warns you that a gauge will be unavailable — out for calibration, checked out, or lost. A live gauge-crib system that flags this scores low; a paper logbook or no visibility scores high, because the shortage surprises the operator at the worst moment.
- How is this different from gauge R&R? Gauge R&R measures measurement-system accuracy and repeatability. This score is about logistics — whether the gauge is physically available when needed. A perfectly capable gauge still causes risk if it is constantly out for calibration with no backup.
Last reviewed 2026-05-12.