This course covers the requirements for AS13000 and AESQ Reference Manual RM13003 - Measurement System Analysis. This course outlines the competitive advantages of an effective Measurement System Analysis (MSA) process along with the benefits of reduced costs due to poor measurement.

MSA provides a method enabling organisations to understand the variation present in their measuring systems. This variation can impact both variable and attribute measurement systems. A high level of confidence is required for the measurement of product and process characteristics. Implementation of an effective MSA process forms one of the key foundation activities in support of this goal.

This course is designed for Process Design Practitioners, Process Improvement Teams, Implementation Teams, Internal Auditors and others involved in the implementation or auditing of Measurement Systems Analysis.

• System for defect prevention
• Purpose of Measurement System Analysis (MSA)
• Requirements from AS13100 and AESQ RM13003
• Linkages to zero defects
• Data types
• Choosing measurement system analysis types
• Calibration vs MSA Understanding variation and resolution
• Sample selection, sample numbers
• Within part variation
• Fixtures and flexible components
• Appraiser selection
• Accuracy, bias, linearity, stability and precision
• Repeatability and reproductibility
• Study approaches - Variable and Range
• Factors driving measurement
• Average and range study (tolerance study)
• Acceptance criteria (TOL study)
• Mitigation for poor results
• Gauge study relationships
• Resolution checking and accuracy ratio
• Feature categories
• Resolution and accuracy acceptance criteria
• Number of distinct categories (NDC)
• When MSA should be applied and pre-requisites
• Study planning and training
• Environmental impacts
• Average and range study (total variation)
• Understanding variation sources (EV, AV and PV)
• Analysis of results and Mitigation strategies
• Acceptance criteria (TV study)
• Gauge study relationships
• Anova study
• Limitations of measurement
• Statistical software
• Benefits of graphical representation
• Nested studies (destructive testing - non repeatable)
• MSA read across
• Gauge R&R for coordinate measuring machines (CMM)
• CMM programme verification
• Attribute studies
• Visual inspection
• Attribute Agreement Analysis - Kappa study
• Acceptance criteria (Kappa study)
• Gauge performance curves

MSA will support understanding measurement system performance and allow any performance limitations to be actioned appropriately by the organisation.

Delegates will become competent in implementing, undertaking and auditing MSA including studies for variable and attribute data.

Implementation of MSA will support improved customer satisfaction, reduced cost of quality and improved problem solving robustness.

Upon completion of the course, you will receive an Industry Forum AS13100_RM13003 MSA Practitioners Certificate.