Accendo Reliability

Your Reliability Engineering Professional Development Site

  • Home
  • About
    • Contributors
    • About Us
    • Colophon
    • Survey
  • Reliability.fm
    • Speaking Of Reliability
    • Rooted in Reliability: The Plant Performance Podcast
    • Quality during Design
    • CMMSradio
    • Way of the Quality Warrior
    • Critical Talks
    • Asset Performance
    • Dare to Know
    • Maintenance Disrupted
    • Metal Conversations
    • The Leadership Connection
    • Practical Reliability Podcast
    • Reliability Matters
    • Reliability it Matters
    • Maintenance Mavericks Podcast
    • Women in Maintenance
    • Accendo Reliability Webinar Series
  • Articles
    • CRE Preparation Notes
    • NoMTBF
    • on Leadership & Career
      • Advanced Engineering Culture
      • ASQR&R
      • Engineering Leadership
      • Managing in the 2000s
      • Product Development and Process Improvement
    • on Maintenance Reliability
      • Aasan Asset Management
      • AI & Predictive Maintenance
      • Asset Management in the Mining Industry
      • CMMS and Maintenance Management
      • CMMS and Reliability
      • Conscious Asset
      • EAM & CMMS
      • Everyday RCM
      • History of Maintenance Management
      • Life Cycle Asset Management
      • Maintenance and Reliability
      • Maintenance Management
      • Plant Maintenance
      • Process Plant Reliability Engineering
      • RCM Blitz®
      • ReliabilityXperience
      • Rob’s Reliability Project
      • The Intelligent Transformer Blog
      • The People Side of Maintenance
      • The Reliability Mindset
    • on Product Reliability
      • Accelerated Reliability
      • Achieving the Benefits of Reliability
      • Apex Ridge
      • Field Reliability Data Analysis
      • Metals Engineering and Product Reliability
      • Musings on Reliability and Maintenance Topics
      • Product Validation
      • Reliability by Design
      • Reliability Competence
      • Reliability Engineering Insights
      • Reliability in Emerging Technology
      • Reliability Knowledge
    • on Risk & Safety
      • CERM® Risk Insights
      • Equipment Risk and Reliability in Downhole Applications
      • Operational Risk Process Safety
    • on Systems Thinking
      • Communicating with FINESSE
      • The RCA
    • on Tools & Techniques
      • Big Data & Analytics
      • Experimental Design for NPD
      • Innovative Thinking in Reliability and Durability
      • Inside and Beyond HALT
      • Inside FMEA
      • Institute of Quality & Reliability
      • Integral Concepts
      • Learning from Failures
      • Progress in Field Reliability?
      • R for Engineering
      • Reliability Engineering Using Python
      • Reliability Reflections
      • Statistical Methods for Failure-Time Data
      • Testing 1 2 3
      • The Manufacturing Academy
  • eBooks
  • Resources
    • Accendo Authors
    • FMEA Resources
    • Glossary
    • Feed Forward Publications
    • Openings
    • Books
    • Webinar Sources
    • Podcasts
  • Courses
    • Your Courses
    • Live Courses
      • Introduction to Reliability Engineering & Accelerated Testings Course Landing Page
      • Advanced Accelerated Testing Course Landing Page
    • Integral Concepts Courses
      • Reliability Analysis Methods Course Landing Page
      • Applied Reliability Analysis Course Landing Page
      • Statistics, Hypothesis Testing, & Regression Modeling Course Landing Page
      • Measurement System Assessment Course Landing Page
      • SPC & Process Capability Course Landing Page
      • Design of Experiments Course Landing Page
    • The Manufacturing Academy Courses
      • An Introduction to Reliability Engineering
      • Reliability Engineering Statistics
      • An Introduction to Quality Engineering
      • Quality Engineering Statistics
      • FMEA in Practice
      • Process Capability Analysis course
      • Root Cause Analysis and the 8D Corrective Action Process course
      • Return on Investment online course
    • Industrial Metallurgist Courses
    • FMEA courses Powered by The Luminous Group
      • FMEA Introduction
      • AIAG & VDA FMEA Methodology
    • Barringer Process Reliability Introduction
      • Barringer Process Reliability Introduction Course Landing Page
    • Fault Tree Analysis (FTA)
    • Foundations of RCM online course
    • Reliability Engineering for Heavy Industry
    • How to be an Online Student
    • Quondam Courses
  • Calendar
    • Call for Papers Listing
    • Upcoming Webinars
    • Webinar Calendar
  • Login
    • Member Home
  • Upcoming Live Events
  • Accendo Reliability Webinar Series
You are here: Home / Courses / Measurement System Assessment

by Fred Schenkelberg Leave a Comment

Measurement System Assessment

Current Status
Not Enrolled
Price
$649
Get Started
Take this Course

M1 Introduction to the Course

A little background and motivation for the material in this course.

  • Welcome
  • Instructor Introduction / Background
  • Course Format / Materials / Software

 

Course Overview

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.


 

If you have already signed up for the course, login and enjoy.


Lost Password? Click here to have it emailed to you.

Master Measurement System Assessments starting today.

Start the Measurement Systems Assessment course 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.


To register for the course today, click the Start Today button and gain immediate access.
Start the Measurement Systems Assessment course today – $649
Contact us for group pricing and other options.

Course Content

Expand All
Module 1: Course Introduction 3 Lessons
Expand
Module Content
0% Complete 0/3 Steps
Course Navigation
Contact Information
Course Materials
Module 2: MSA Defintions 7 Lessons
Expand
Module Content
0% Complete 0/7 Steps
Lesson 1 – Why MSA & Defining Measurement Systems
Lesson 2 – Review of Basic Statistics
Lesson 3 – Measurement Systems Characteristics – Part I
Lesson 4 – Repeatability & Reproducibility
Lesson 5 – Common Gage RR Metrics
Lesson 6 – Measurement Systems Characteristics – Part II
Lesson 7 – Review Exercises
Module 3: Gage R&R Studies 9 Lessons
Expand
Module Content
0% Complete 0/9 Steps
Lesson 1 – Overview and Planning for a Gage R&R Study
Lesson 2 – Analysis – Average and Range Method
Lesson 3 – Setting up and Analyzing a Gage R&R in Minitab
Lesson 4 – Exercise – Analyzing a Gage R&R Study
Lesson 5 – Analysis – ANOVA Method
Lesson 6 – Analyzing a Gage R&R in Minitab (ANOVA Method)
Lesson 7 – Exercises – Analyzing Gage R&R Studies (ANOVA)
Lesson 8 – Analysis – ANOVA with Significant Interactions
Lesson 9 – Gage R&R with Other Factors (Expanded Gage R&R)
Module 4: SPC for Measurement Systems 2 Lessons
Expand
Module Content
0% Complete 0/2 Steps
Lesson 1 – Measurement Systems Stability
Lesson 2 – Control Chart Examples
Module 5: Linearity & Bias Assessment 3 Lessons
Expand
Module Content
0% Complete 0/3 Steps
Lesson 1 – Linearity/Bias Assessment Overview
Lesson 2 – Linearity/Bias Studies in Minitab & Exercise
Lesson 3 – Linearity with Respect to Precision & Exercises
Module 6: Attribute Systems Assessment 6 Lessons
Expand
Module Content
0% Complete 0/6 Steps
Lesson 1 – Overview & Simple Assessment Method
Lesson 2 – Attribute Gage Study – Analytic Method
Lesson 3 – Attribute Gage Study – Analytic Method with Minitab & Exercise
Lesson 4 – Attribute Agreement Analysis Method
Lesson 5 – Attribute Agreement Analysis Examples
Lesson 6 – Attribute Agreement Analysis Exercises
Module 7: Comparing Measurement Systems 3 Lessons
Expand
Module Content
0% Complete 0/3 Steps
Lesson 1 – Methods for Comparing Variability & Accuracy
Lesson 2 – Direct Comparisons with Scatter Plots & Regression Modeling
Lesson 3 – Exercises
Module 8: Non-Replicable Measurement Systems 6 Lessons
Expand
Module Content
0% Complete 0/6 Steps
Lesson 1 – Non-replicable Scenarios & Overview of Methods
Lesson 2 – Destructive Testing (Homogenous Specimens & Split Specimens)
Lesson 3 – Analyzing a Nested Gage R&R (Minitab) & Exercise
Lesson 4 – Destructive Testing (Multiple Measurement Locations)
Lesson 5 – Dynamic Process Conditions
Lesson 6 – Dynamic Part/Sample Properties

About Fred Schenkelberg

I am the reliability expert at FMS Reliability, a reliability engineering and management consulting firm I founded in 2004. I left Hewlett Packard (HP)’s Reliability Team, where I helped create a culture of reliability across the corporation, to assist other organizations.

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Accendo Reliability Webinar Series logo - sun and moon

Navigation

Course Home Expand All
Module 1: Course Introduction
3 Lessons
Course Navigation
Contact Information
Course Materials
Module 2: MSA Defintions
7 Lessons
Lesson 1 – Why MSA & Defining Measurement Systems
Lesson 2 – Review of Basic Statistics
Lesson 3 – Measurement Systems Characteristics – Part I
Lesson 4 – Repeatability & Reproducibility
Lesson 5 – Common Gage RR Metrics
Lesson 6 – Measurement Systems Characteristics – Part II
Lesson 7 – Review Exercises
Module 3: Gage R&R Studies
9 Lessons
Lesson 1 – Overview and Planning for a Gage R&R Study
Lesson 2 – Analysis – Average and Range Method
Lesson 3 – Setting up and Analyzing a Gage R&R in Minitab
Lesson 4 – Exercise – Analyzing a Gage R&R Study
Lesson 5 – Analysis – ANOVA Method
Lesson 6 – Analyzing a Gage R&R in Minitab (ANOVA Method)
Lesson 7 – Exercises – Analyzing Gage R&R Studies (ANOVA)
Lesson 8 – Analysis – ANOVA with Significant Interactions
Lesson 9 – Gage R&R with Other Factors (Expanded Gage R&R)
Module 4: SPC for Measurement Systems
2 Lessons
Lesson 1 – Measurement Systems Stability
Lesson 2 – Control Chart Examples
Module 5: Linearity & Bias Assessment
3 Lessons
Lesson 1 – Linearity/Bias Assessment Overview
Lesson 2 – Linearity/Bias Studies in Minitab & Exercise
Lesson 3 – Linearity with Respect to Precision & Exercises
Module 6: Attribute Systems Assessment
6 Lessons
Lesson 1 – Overview & Simple Assessment Method
Lesson 2 – Attribute Gage Study – Analytic Method
Lesson 3 – Attribute Gage Study – Analytic Method with Minitab & Exercise
Lesson 4 – Attribute Agreement Analysis Method
Lesson 5 – Attribute Agreement Analysis Examples
Lesson 6 – Attribute Agreement Analysis Exercises
Module 7: Comparing Measurement Systems
3 Lessons
Lesson 1 – Methods for Comparing Variability & Accuracy
Lesson 2 – Direct Comparisons with Scatter Plots & Regression Modeling
Lesson 3 – Exercises
Module 8: Non-Replicable Measurement Systems
6 Lessons
Lesson 1 – Non-replicable Scenarios & Overview of Methods
Lesson 2 – Destructive Testing (Homogenous Specimens & Split Specimens)
Lesson 3 – Analyzing a Nested Gage R&R (Minitab) & Exercise
Lesson 4 – Destructive Testing (Multiple Measurement Locations)
Lesson 5 – Dynamic Process Conditions
Lesson 6 – Dynamic Part/Sample Properties

© 2025 FMS Reliability · Privacy Policy · Terms of Service · Cookies Policy