https://my.asq.org/events/event-description?CalendarEventKey=e6846afa-6a71-4ecd-accd-0196e3db77af
Date: 20 Nov 2025; Thursday 5:45 pm to 7:20 pm US-MT
5:45 pm Meeting Start: Networking, Welcome and Section Business
6:00 pm Presentation
- Speaker: Steven Ouellette, President, The ROI Alliance, LLC
- Topic: Why calibration stickers and a gauge R&R are not enough
- NOTE: Recording (58 MB) and slides (5.5 MB) only access via ASQ National Membership
- NOTE: Non-ASQ Members to get slides please contact Arnold Miller via amiller@memberleader.asq.org
- Presentation Recording and slides at https://my.asq.org/viewdocument/2025-11meeting-calibration-gauge
7:15 pm Presentation Ended
7:20 pm Meeting End: meeting over
References:
Please send presentation comments to Steven Ouellette at email steve@roi-ally.com with subject “ASQ Boulder talk: Calibration Gauge”
AI Summary Notes
The meeting highlighted the critical role of measurement system analysis in ensuring reliable data for quality control and process improvement, emphasizing the need for ongoing evaluation beyond basic calibration.
Steve Ouellette presents on measurement system analysis, emphasizing its importance beyond calibration and gauge R&R.
Measurement is crucial for data-driven decisions in various industries, impacting product quality and customer satisfaction.
Calibration alone is insufficient; it provides a snapshot without tracking measurement stability over time.
Measurement systems often exhibit variation due to operator differences, equipment inconsistencies, and environmental factors.
Understanding precision and accuracy is vital for effective measurement system analysis (MSA).
MSA identifies measurement errors, ensuring reliable data for process improvement and quality control.
Frequent recalibration can introduce variability rather than resolve measurement issues.
Many companies rely on calendar schedules rather than data for measurement system recalibration.
Gauge R&R studies provide preliminary insights but do not ensure measurement system capability.
Long-term studies track measurement stability and help identify changes in the measurement system over time.
Misclassification risks arise from measurement error and process variation, affecting product quality decisions.
Percent R&R alone is insufficient; it must consider misclassification probabilities for effective acceptance criteria.
Diagnostic analyses reveal underlying issues in measurement systems, guiding better data-driven decisions.
DONE