M1 Introduction to the Course
A little background and motivation for the material in this course.
- Instructor Introduction / Background
- Course Format / Materials / Software
- Measurement System Assessment
- References and Downloads
- M02 MSA Definitions
- 1 Why MSA & Defining Measurement Systems
- 2 Review of Basic Statistics
- 3 Measurement Systems Characteristics – Part I
- 4 Repeatability & Reproducibility
- 5 Common Gage RR Metrics
- 6 Measurement Systems Characteristics – Part II
- 7 Review Exercises
- M03 Gage R&R Studies
- 1 Overview and Planning for a Gage R&R Study
- 2 Analysis – Average and Range Method
- 3 Setting up and Analyzing a Gage R&R in Minitab
- 4 Exercise – Analyzing a Gage R&R Study
- 5 Analysis – ANOVA Method
- 6 Analyzing a Gage R&R in Minitab (ANOVA Method)
- 7 Exercises – Analyzing Gage R&R Studies (ANOVA)
- 8 Analysis – ANOVA with Significant Interactions
- 9 Gage R&R with Other Factors (Expanded Gage R&R)
- M04 SPC for Measurement Systems
- 1 Measurement Systems Stability
- 2 Control Chart Examples
- M05 Linearity & Bias Assessment
- 1 Linearity/Bias Assessment Overview
- 2 Linearity/Bias Studies in Minitab & Exercise
- 3 Linearity with Respect to Precision & Exercises
- M06 Attribute Systems Assessment
- 1 Overview & Simple Assessment Method
- 2 Attribute Gage Study – Analytic Method
- 3 Attribute Gage Study – Analytic Method with Minitab & Exercise
- 4 Attribute Agreement Analysis Method
- 5 Attribute Agreement Analysis Examples
- 6 Attribute Agreement Analysis Exercises
- M07 Comparing Measurement Systems
- 1 Methods for Comparing Variability & Accuracy
- 2 Direct Comparisons with Scatter Plots & Regression Modeling
- 3 Exercises
- M08 Non-Replicable Measurement Systems
- 1 Non-replicable Scenarios & Overview of Methods
- 2 Destructive Testing (Homogenous Specimens & Split Specimens)
- 3 Analyzing a Nested Gage R&R (Minitab) & Exercise
- 4 Destructive Testing (Multiple Measurement Locations)
- 5 Dynamic Process Conditions
- 6 Dynamic Part/Sample Properties
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The objective of the curriculum is to provide participants with the analytical tools and methods necessary to:
- Understand key sources of measurement error
- Design and Conduct Gage R&R studies to estimate measurement error components (repeatability, reproducibility)
- Interpret Gage R&R results and identify corrective actions if necessary
- Plan and Conduct Gage R&R studies for attribute systems
- Apply control charts to monitor Measurement Systems over time
- Assess Accuracy and Linearity of Measurement Systems
- Compare measurement systems to each other with respect to accuracy and precision
- Handle Non-Replicable Systems (such as Destructive Tests)
The key course features are summarized below:
- 8 Modules & 36 Lessons
- Video Presentation of Concepts & Methods
- Participant Interaction via Pop-Up Questions with Feedback
- Demonstrations of Analyses using MINITAB Software
- Interpreting Results/Output
- Participant Exercises with Presented Solutions
- Off-line Instructor support available
- Participant Guide and Supporting Reference Textbook available Electronically and in hard copy
Steven Wachs, Course Instructor
Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.
Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty. Steve regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.
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Master Measurement System Assessments starting today.
Your On-demand Course with Instructor Support
Immediate access to all course lessons discussing concepts, reviewing procedures, and flushing out context and applicability.
Plus, I’m here to support you upon request.
Lessons include text, video lectures, quick quizzes, exercises, and activities. The intent is to encourage you to immediately apply the lessons within your organization such that you can start improving your measurement system assessments.
How Long Will the Course Take?
This will depend on how many video lectures you view and how many of the sample exam problems you attempt. The course contains 8 modules, with a total of 36 lessons including 15 exercises. There are approximately 16 hours of lectures.
It is recommended that beyond the lectures, you plan on another 10 to 20 hours for reading and working the exercises. Plus, you are encouraged to ‘try this at work/home’ too.
You can always revisit a lesson or check a detail in the supporting student text.
What are the course prerequisites?
No prior knowledge of statistics or statistical software is required for this course. Participants should simply be interested in learning how to quantitatively assess the adequacy of measurement systems.
What is your return policy?
If you are not satisfied with the content, send me an email within 30 days for a full refund.