Overview:
This 8-hour workshop is aimed at industry professionals who must wrestle with measurement and test variability. The focus of Measurement Systems Analysis (MSA) is to understand the extent of the measurement variation in a "gauge" so that appropriate action can be taken to adjust or improve the measurement system. Particular attention is given to the design and analysis of the "gauge R&R" study for both variables and attributes measurements. In addition, methods for determining gauge linearity, calibration decision-making, and stability assessment are provided. Guidance is also given to participants whose measurement systems do not conform to standard analytical approaches. Examples include measurement systems where the results are elusive, dynamic, or destructive or where the final measurement is derived from other measurements. The seminar includes two workshops requiring participants to conduct and analyze gauge R&R studies that they designed earlier in the course.
How You Will Benefit:
By the end of this class, you will gain:
- A firm grasp of the essential properties and definitions used to characterize measurement quality;
- An understanding of the key statistical methods, tools, and indices of Measurement Systems Analysis;
- Ability to design and analyze a gauge R&R study, for both continuous and discrete measurement systems;
- Insight into how MSA needs to be implemented effectively in the evaluation of "non-standard" measurement systems, such as those involving elusive or destructive measurements;
- Experience using statistical software for the design and analysis of measurement studies.
Course Outline
- Measurement Quality Terms & Definitions
- Accuracy, precision, repeatability, reproducibility, linearity, etc.
- Common Indices of Measurement Capability: %R&R, %P/T
- The Gauge R&R Study
- Gauge studies with continuous/variables data
- Gauge Stsdies with discrete/attribute data
- Design issues in gauge R&R studies
- Analysis of Gauge R&R Studies: Graphical & ANOVA
- Use of software to design and analyze gauge R&R studies
- Actions to Improve an Incapable Gauge: Temporary & Permanent
- Analyses for Bias & Non-Linearity
- Advanced MSA Topics
- The "Elusive" measurement: The Nested Design
- Design of gauge R&R studies for destructive testing
- MSA for a derived/calculated measurement
Who Should Attend:
Managers, engineers, or personnel in inspection & test, quality assurance, manufacturing, engineering, or related disciplines who are responsible for the measurement systems in their organization.
Cost:
Full-day course
Cost: $200 (includes class, all class materials, and lunch)
Instructor: Don Lewis
Don Lewis is Principal, Lewis Consulting LLC, whose mission is to enable clients to improve their competitive performance through effective application of proven quantitative decision-making methodologies. Since establishing his consulting practice in 1986, Don has trained and mentored over five thousand technical professionals to apply quantitative methods, such as Statistical Process Control and Design of Experiments, in their project work. His consulting experience accrues from 50+ organizations across a diverse group of industries, including biosciences. Clients have achieved significant performance improvement, including proprietary breakthroughs, as a result of implementing his services.
Recently, as a Lead Instructor in Motorola University’s Digital Six Sigma Black Belt training program, Don has trained over two hundred and fifty Motorola Black Belts throughout the U.S., Europe, and Asia. Since 2003 his Northwest Lean Six Sigma clients have saved over $16 million in project work completed in conjunction with his training programs. He is an Adjunct Professor in both the Department of Management of Science & Technology at the OGI School of Science & Engineering in Portland, Oregon and the Atkinson Graduate School of Management at Willamette University. Don is also a chapter author of the recently published "Encyclopedia of Statistics in Quality and Reliability." He received his B.A. in mathematics from Claremont McKenna College and Ph.D. in biostatistics from the University of North Carolina at Chapel Hill. Don is an ASQ Certified Six Sigma Black Belt. |