Gage GR&R Analytics for Electronics & EMS Manufacturing
Ensure the reliability, repeatability, and reproducibility of your test equipment before deploying into mass production.
Check your test equipment repeatability and reproducibility (GR&R)
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Check your tested parameters Consistency
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Check your Process Standard Deviation
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Check Differences Between Operators
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Make sure that your test equipment is qualified and ready for mass manufacturing
Gage GR&R Analytics
Through our innovative Gage R&R Analytics system, we’ll help you qualify your test equipment for mass production.
With this tool, you can generate a detailed statistical report that grades each test equipment according to its readiness for mass production.
Contribuitions based on variance
The Gage R&R module analyzes the Repeatability & Reproducibility of the testing station:
- The amount of testing station variation compared with the process variation.
- The amount of variation in the testing station that is due to operator influence.
- The testing station ’s capability to identify different parts
Variance components chart
The QualityLine The Gage R&R module uses ANOVA and Average and Range methods to the following measurement error components:
- Repeatability
- Reproducibility
- Part-to-part variation
TECH SPECS
TECH SPECS
WHY IS IT IMPORTANT?
Data integration involves combining data residing in different sources
and providing users with a unified view of them.
This process becomes significant in a variety of situations, which include both
from engineering and testing to repair of faulty products.
Why Gage GR&R Matters in Electronics Manufacturing
In electronics and EMS production, testing station performance directly affects product quality, defect rates, and consistency across lines and sites. Gage GR&R analytics help ensure that every test station provides stable and repeatable measurements, enabling reliable production decisions.
Validate Testing Equipment Accuracy & Stability
QualityLine automatically analyzes Gage GR&R parameters to ensure your measurement system is qualified for high-volume manufacturing.
What We Analyze:
Clear Classification of Test Station Quality
Acceptable Test Stations
% GRR < 10%
Provide reliable measurement quality for operational use.
Conditionally Acceptable
10% < % GRR < 30%
May be usable depending on the application; requires careful evaluation.
Not Acceptable
% GRR > 30%
Measurement system variation is too high and must be corrected before use.
Advanced Analytics for Reliable Testing
Gage GR&R Reports
Visual dashboards showing performance by:
- Test type
- Model
- Station
- Operator
- Time period
Contributions Based on Variance
Breakdown of measurement variation by:
- Equipment
- Operator
- Environment
- Part
- Interaction of variables
Variance Components Chart
Identify root causes of measurement error and performance drift.
Improve Quality, Reduce Cost & Prevent Failures
With stable measurement systems, manufacturers gain:
Tech Specs
Why It's Important
Gage GR&R analytics ensure that your measurement systems are capable, consistent, and ready for mass production. Reliable test data prevents defective products from slipping into the market and protects your brand reputation.
Frequently Asked Questions
What is Gage GR&R in manufacturing?
Gage GR&R measures the repeatability and reproducibility of test equipment to ensure stable and accurate measurements.
Why is GR&R important for electronics production?
Electronics manufacturing relies on highly accurate testing systems; GR&R prevents false failures and undetected defects.
Can QualityLine generate automated GR&R charts?
Yes. QualityLine automatically produces full GR&R dashboards, charts, and variance reports.
Does it integrate with MES/ERP systems?
Yes — QualityLine connects with major systems without requiring API or hardware changes.
How often should GR&R be evaluated?
Most manufacturers run GR&R analyses monthly or after any equipment, process, or operator change.
Contact Us
Ensure reliable, repeatable, and reproducible test equipment performance with QualityLine's automated Gage GR&R analytics.
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