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Home » LMS » Page 4

by Steven Wachs Leave a Comment

1 Why MSA & Defining Measurement Systems

1 Why MSA & Defining Measurement Systems

Module 2 MSA Definitions

Lesson M2-01

Text: Section 1, Pages 1-3

Duration: 11 minutes

  • 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

 

Why MSA & Defining Measurement Systems

We kick off this module with a discussion on the importance of adequately assessing our measurement systems before we use them for collecting data that will guide our decision making.  We then take a process view of measurement systems and discuss the key inputs that may affect the measurement process.

 

 

  • 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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by Steven Wachs Leave a Comment

M02 MSA Definitions

M02 MSA Definitions

Module 2 MSA Definitions

Lesson M2-00

Text: Section 1

Duration: 1 minute

  • 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

 

MSA Definitions Module Introduction

Module 2 provides the building blocks for the rest of the course. Here, we discuss why MSA is so important and why it’s a pre-requisite for using other quantitative methods to support decision making. We describe how the measurement process is like any other process which is subject to variation that must be understood and controlled. We provide brief review of basic statistics that will be used throughout the course. This module defines several measurement systems characteristics that will be assessed using the methods covered in this course such as accuracy, precision, linearity, and discrimination. We introduce the common metrics that are used to assess precision as part of a Gage R&R study.
 

 

  • 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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by Steven Wachs 2 Comments

Measurement System Assessment

Measurement System Assessment

M1 Introduction to the Course

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

  • Welcome
  • 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

Click this box to open the full set of available modules and lessons. You may click the Favorite button to mark modules or lessons with a star. You also may click the Complete button to mark those modules or lessons you have finished.

 

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.


 

[show_to accesslevel=”msa”]

Enjoy the Course

— select available lessons via the menu (click on the Course Outline + button to view the available modules and lessons)

 

Step through the lessons from top to bottom or jump to the areas you know you need to review quickly or dig deeper and study.

I, Steven Wachs, am here to support you along the way. At any time, if you have a question, would like to chat about a concept, or check in, let me know. Email or call (+1.248.884.2276).

You may also contact me via the comments/reply boxes under each lesson or via a contact form under the Contact Steven lesson.

Welcome to Your Measurement Systems Assessment Course

Select a module then lesson via the menu. [/show_to]

[hide_from visible_to=”public”]If you have already signed up for the course, login and enjoy.

[login-form redirect=”/measurement-system-assessment/“]
[password-recovery-link text=’Lost Password? Click here to have it emailed to you.’][/hide_from][hide_from accesslevel=”msa”]

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.

[/hide_from]

[show_to accesslevel=”msa”]

References

Here are the course reference documents.

Download the course Participant Guide pdf to follow along with the presentations and exercises.

Download the Measurement Systems Assessment course reference text for additional reading on the course topics.

Or, you may purchase hard copies of these, if desired. The references are at the Integral Concepts marketplace at Mimeo.com. The link takes you to the All Products screen. Click on the left sidebar menu item “Measurement Systems Assessments” to view the available hardcopy references for this course.

  • 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

[/show_to]

by Christopher Jackson Leave a Comment

Session 8 – July 2, 2020

Session 8

 

Maintainability

 

Logistics Engineering

 

Quality & Reliability

 

Reliability Management

 

Final Q & A

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by Christopher Jackson Leave a Comment

Session 7 – June 24, 2020

Session 7

 

Testing

 

Confidence

 

Fixing Failure

 

Manufacturing for Reliability

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by Christopher Jackson Leave a Comment

Session 6 – June 16, 2020

Session 6

 

Reliability Life Models

 

Reliability Data

 

Design of Experiments

 

Discrete Probability Distributions

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by Christopher Jackson Leave a Comment

Session 5 – June 9, 2020

Session 5

 

Probability Distributions – Exponential Distribution

 

Normal Distribution

 

Weibull Distribution

 

Probability Plotting

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by Christopher Jackson 2 Comments

Session 4 – May 27, 2020

Session 4

 

 

 

 

 

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by Christopher Jackson Leave a Comment

Session 3 – May 19, 2020

Session 3

 

 

 

 

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by Fred Schenkelberg Leave a Comment

Session 2 – May 12, 2020

Session 2

 

 

 

 

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by Christopher Jackson Leave a Comment

Session 1 – May 4, 2020

Session 1

 

 

 

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by Christopher Jackson Leave a Comment

Resources & Handouts

Resources & Handouts

Here are a few items that may be helpful.

Sample Exam Questions

I’ll add sample exams here for your enjoyment. They are 160 questions long and while I’m working through the formatting and updating of the questions, please work the problems for practice as best you can.

From ASQ a set of 75 sample exam questions – allow 2 hours to complete. CRE Sample Exam.pdf

From ASQ os set of questions organized according to an older BOK. CRE Study Questions.pdf

 

As always, let us know if you have any questions.

 

Course Notes

Course notes will be released iteratively throughout the course. This allows observations and feedback to be incorporated into subsequent lessons.

CREPrepCourse-Lesson1-Introduction-handouts

CREPrepCourse-Lesson2-Why-Reliability-Engineering-handouts

CREPrepCourse-Lesson3-Reliability-Mindset-Value-handouts

CREPrepCourse-Lesson4-Reliability-Language-So-what-is-Reliability-handouts

CREPrepCourse-Lesson5-Reliability-Specification-handouts

CREPrepCourse-Lesson6-Reliability-Methods-StartingwiththeLifecycle-handouts

CREPrepCourse-Lesson7-Causality-Handouts

CREPrepCourse-Lesson8-FMEA-Handouts

CREPrepCourse-Lesson9-Relability-and-Risk-handouts

CREPrepCourse-Lesson10-Relability-Allocation-handouts

CREPrepCourse-Lesson11-Smart-Design-handouts

CREPrepCourse-Lesson12-System-Reliability-Modeling-handouts

CREPrepCourse-Lesson13.1-Arithmetic-handouts

CREPrepCourse-Lesson13.2-Events-Probability-handouts

CREPrepCourse-Lesson14-System-Reliability-Analysis-handouts

CREPrepCourse-Lesson15-Randomness-handouts

CREPrepCourse-Lesson16-Probability-Distributions-handouts

CREPrepCourse-Lesson17-Probability-Plotting-handouts

CREPrepCourse-Lesson18-ReliabilityLifeModels-handouts

CREPrepCourse-Lesson19-Reliability-Data-handouts

CREPrepCourse-Lesson20-Design-of-Experiments-handouts

CREPrepCourse-Lesson21-Discrete-Distributions-handouts

CREPrepCourse-Lesson22-Testing-handouts

CREPrepCourse-Lesson23-Confidence-handouts

CREPrepCourse-Lesson24-Root-Cause-Analysis-handouts

CREPrepCourse-Lesson25-Manufacturing-for-Reliability-handouts

CREPrepCourse-Lesson26-Maintainability-handouts

CREPrepCourse-Lesson27-Logistics-Engineering-handouts

CREPrepCourse-Lesson28-Quality-and-Reliability-handouts

CREPrepCourse-Lesson29-Reliability-Management-handouts

 

Sample Questions

  • SampleCREExamQuestions-SectionII
  • SampleCREExamQuestions-SectionIII
  • SampleCREExamQuestions-SectionIV
  • SampleCREExamQuestions-SectionV
  • SampleCREExamQuestions-SectionVI
  • SampleCREExamQuestions-SectionVII
  • SampleCREExamQuestions-SectionVIII
  • SampleCREExamQuestions-SectionIX

 

CRE Primer Errata

Quality Council of Indiana – Certified Reliability Engineer (CRE)

CRE Primer, 5th Edition, January 1, 2018

CRE Primer, 005, February 11, 2019
Intro-3 004 -> 005
II-62 e^5/7 -> e^-5/7

CRE Primer, 004, May 3, 2018
Intro-3 003 -> 004
IX-42 <Q9.15> <reworded question>
IX-42  <Q9.16> <reworded question>
IX-43  <Q9.24> <reworded question>

CRE Primer, 003, April 9, 2018 Intro-3 002 -> 003
III-16  D = Likelihood -> D = Detection
III-17  D = Likelihood -> D = Detection
III-62 <Q3.20> Replaced entire question III-62 <Q3.21b> appropriate -> appropriately IX-12 interactive -> iterative

CRE Primer, 002, March 29, 2018
Intro-3 001 -> 002
XI-41 Sec II 38 b -> c, 39 a -> b

CRE Primer, 001, October 30, 2017
Intro-3 000 -> 001
II-27 <Failure effect> failure efforts -> failure effects
II-55 validate the that the -> validate that the
II-67 <Example 2.10> repair times -> repair rates
II-84 These consideration balanced -. These considerations should be balanced
IV-21 more that fifty -> more than fifty
V-6 3rd line the Institute of Electrical and Electronics

CRE Primer, 000, September 28, 2017
Intro-3 000 initial release of 5th edition

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Enbridge CRE 2020 Course

Enbridge CRE 2020 Course

Welcome to the ASQ Certified Reliability Engineer (CRE) Exam Preparation Course

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The live sessions are held using GotoMeeting

Please join the course session from your computer, tablet, or smartphone.
https://global.gotomeeting.com/join/235107237

This meeting is locked with a password: AR-CRE-2020

we are using the same link for all sessions – at least that is the current plan

You can also dial in using your phone.
United States: +1 (312) 757-3129
Canada: +1 (647) 497-9391

Access Code: 235-107-237

First GoToMeeting using this device or network? Let’s do a quick system check:
https://link.gotomeeting.com/system-check

The Primary Reference for the Course

This course is built around the Quality Council of Indiana’s CRE Primer. It costs $85 and typically ships within a week or two.

I highly encourage you to get a copy, read, study, markup, and get to know this reference. It is essentially the best and goto reference during the exam, and as a goto reference going forward.

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[hide_from accesslevel=”enbridge-cre-2020″ ]This course is exclusively offered to Enbridge employees.

If already registered for the course, please login to view course materials.

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Course Overview

  • This online class provides an overview of the CRE Body of Knowledge with lectures, discussions, guided self-study and review of previous CRE exam questions.
  • This classroom allows participants to actively participate by drawing on the virtual whiteboard, asking questions on the mic or webchat, taking polls, sharing desktops, and webcam capability.  Imagine following a lecture, highlighting or circling your problem areas on the virtual whiteboard, or even presenting tough CRE questions to be answered.  You can even e-mail questions to be answered in the next class!
  • If you are unable to make the live class, or want to re-view videos from past sessions, you may do so by clicking any course date in the Course Archive (available here as the course progresses).
  • This course is designed to supplement the knowledge of the individual having met the requirements for certification and is not designed to teach the entire body of knowledge.

CRE Exam Prerequisites

  • You must have eight years of on-the-job experience in one or more of the areas of the Certified Reliability Engineer Body of Knowledge. A minimum of three years of this experience must be in a decision-making position. “Decision-making” is defined as the authority to define, execute, or control projects/processes and to be responsible for the outcome. This may or may not include management or supervisory positions.
  • If you are now or were previously certified by ASQ as a Quality Engineer, Quality Auditor, Software Quality Engineer, or Quality Manager, experience used to qualify for certification in these fields often applies to certification as a Reliability Engineer.
  • If you have completed a degree from a college, university, or technical school with accreditation accepted by ASQ, part of the eight-year experience requirement will be waived. Please consult the details on the ASQ website, http://asq.org/cert/quality-engineer/right-for-you, or call 800-248-1946.
  • Register for the CRE exam separately at www.asq.org. Introductory courses in Statistics, Statistical analysis, Risk Analysis, FMEA and Reliability are advisable if you have not covered those topics in depth previously.

Instructor Bio

Chris Jackson-300x400Chris Jackson can help you with a range of reliability engineering issues and problems.

Chris has a PhD in Reliability Engineering and has been the Director of UCLA’s Center for Reliability and Resilience Engineering (CRRE) … so he can help you with the higher-level theory of reliability probability, modeling and statistics.

He was an officer in the Australian Army where he (amongst other things) led hundreds of engineers and technicians to support multi-million dollar fleets of equipment … so he knows how the operational management side works.

He has also consulted to many clients for many different issues … so he knows about organizational reliability management issues.

Chris has been a project manager for a number of government projects … which means he is well versed on the realities of materiel contract management. He has published multiple textbooks including ‘Reliability Engineering and Management’ (https://www.amazon.com/Reliability-Engineering-Management-Christopher-Jackson-ebook/dp/B071LGDYQG).

He founded UCLA’s Center for the Safety and Reliability of Autonomous Systems (SARAS … www.saras.ucla.edu)

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BOK Primer

The BOK Primer is for the CRE (from the Indiana Society of Quality) can be purchased at:

https://www.qualitycouncil.com/cre/

This comprises of a large folder that can be taken into the CRE exam as a reference. It also contains ‘blue’ pages of practice questions that must be removed before entering the exam.

Online Course Times

Note: These online classes will be recorded and you will be able to access them later even if you cannot make it to the Live class session.  This means you may watch them again in case you forget something, miss a class, or can’t make it one day.  Saturdays may be scheduled with the instructor for extra sessions or make-up classes if needed.

The course will be run over eight (8) weeks as follows:

  1. Tuesday 5th May (10 am to 2 pm EST)
  2. Tuesday 12th May (10 am to 2 pm EST)
  3. Tuesday 19th May (10 am to 2 pm EST)
  4. Wednesday 27th May (10 am to 2 pm EST)
  5. Tuesday 2nd June (10 am to 2 pm EST)
  6. Tuesday 9th June (10 am to 2 pm EST)
  7. Tuesday 16th June (10 am to 2 pm EST)
  8. Wednesday 24th June (10 am to 2 pm EST)

 

You are always welcome to email or call Chris at any time to discuss topics within the CRE Body of Knowledge.

Course Details

Prerequisites: Please see above.

Hardware: A basic statistical calculator.  Calculators with alpha keyboards or with stored memory are not permitted in the exam.

You must have access to a computer capable of viewing the online classes which is using GotoMeeting.

If you haven’t recently attended a GotoMeeting meeting before, try the following link:

Test your connection: https://support.logmeininc.com/gotomeeting/get-ready

We will schedule a couple ‘let’s make sure this works’ sessions to test and get familiar with the GotoMeeting software that we’ll be using for the class sessions. Details to follow on dates and times for the get the setup meetings.

Software: N/A – as you will not have software tools available during the exam.

Required Materials:

  • Pencil & Paper
  • A laptop/tablet if you prefer, with online access to view the webinar
  • A calculator without an alpha-numeric keyboard
  • CRE Primer.  Available from the Quality Council of Indiana.  To order please go to:  www.qualitycouncil.com  **Please order at least 2 weeks prior to course to ensure it arrives in time.

Suggested Materials: CRE Electronic Exam CD, is also available on the Quality Council of Indiana website, and similar products are available from The ASQ website under The Quality Press section.

Learning Method: Lectures, teams, case studies, hands on-line approach

Class Time: 32 hours (Every class will be available to watch again in the Archive)

Class Size:  20 participants max per class, class is held online

Facilities: This is an online course, you must provide your own capable computer with internet access in order to participate in this class;  you will have the opportunity  to ask detailed questions, participate in virtual whiteboard activities by drawing or highlighting problems and questions, access to polls, chat and microphone Q&A, and screen sharing capability.

 

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by Steven Wachs Leave a Comment

M09 Introduction to Advanced Topics

M09 Introduction to Advanced Topics

Module 9 Introduction to Advanced Topics

Lesson M09-00

Text: n/a

Duration: 2 minutes

  • Reliability Analysis Methods
    • M01 Reliability Concepts & Data
      • 01 Why Reliability & Typical Questions
      • 02 Defining Reliability
      • 03 Type of Reliability Data & Unique Aspects
      • 04 Censored Data
      • 05 The Bathtub Curve & Reliability Function
    • M02 Probability & Reliability Statistics
      • 01 Probability Basics
      • 02 Conditional Probability, Independent Events, & Exercise
      • 03 Reliability Metrics & Statistics
      • 04 Common Distributions & Weibull Distribution
      • 05 Conditional Reliability & Exercise
      • 06 Review Exercises
      • 07 Useful Discrete Distributions & Exercise
    • M03 Assessing & Selecting Models for Time-to-Failure Data
      • 01 Overview of Distribution Fitting & Reliability
      • 02 Probability Plots & Minitab Demonstration
      • 03 Constructing Probability Plots
      • 04 Distribution Fitting with Right-Censored Data
      • 05 Exercises
      • 06 Distribution Fitting with Multiple Failure Modes
      • 07 Exercise and Module Wrap-up
    • M04 Estimation of Reliability Metrics
      • 01 Overview of Reliability Estimation & Methods
      • 02 Confidence Intervals & Bounds
      • 03 Using Minitab to Estimate Reliability Metrics (Demo)
      • 04 Exercise
      • 05 Reliability Estimation with Censored Data
      • 06 Comparing Multiple Groups
      • 07 Exercises
      • 08 Handling Multiple Failure Modes & Exercise
      • 09 Non-Parametric Estimation
      • 10 Other Methods for Reliability Prediction
    • M05 Introduction to System Reliability
      • 01 System Reliability Overview & Basic Series Systems
      • 02 Basic Parallel Systems & Short Exercise
      • 03 k-out-of-n Parallel Systems & Combination Systems
      • 04 Exercises
      • 05 Complex Systems
      • 06 Reliability Importance, Reliability Allocation, & other Concepts
    • M06 Reliability Test Planning
      • 01 Reliability Testing Ideas
      • 02 Reliability Test Planning & Censoring Schemes
      • 03 Reliability Estimation Test Planning
      • 04 Exercises
      • 05 Reliability Demonstration Test Planning
      • 06 Exercise
      • 07 Zero Failure Test Plans Special Case & Module Wrap-up
    • M07 Analysis of Warranty Data
      • 01 Warranty Analysis Overview & Key Concepts
      • 02 Data Setup & Calculations
      • 03 Minitab Demonstration
      • 04 Exercise
    • M08 Design for Reliability (DFR)
      • 01 Design for Reliability (DFR) Overview
      • 02 DFR Process & Methodology Overview
    • M09 Introduction to Advanced Topics
      • 01 Types of Accelerated Life Testing (ALT)
      • 02 Introduction to Quantitative ALT
      • 03 Introduction to Repairable System Analysis
      • 04 Stress-Strength Analysis

 

Introduction to Advanced Topics Module

This module provides in introduction to a few topics that are covered in more advanced courses. Accelerated life testing is an import tool to support reliability estimation and understanding in an environment of ever shortening product development timeframes. Reliability methods for repairable systems are briefly introduced. Finally stress-strength analysis is described.

 

  • Reliability Analysis Methods
    • M01 Reliability Concepts & Data
      • 01 Why Reliability & Typical Questions
      • 02 Defining Reliability
      • 03 Type of Reliability Data & Unique Aspects
      • 04 Censored Data
      • 05 The Bathtub Curve & Reliability Function
    • M02 Probability & Reliability Statistics
      • 01 Probability Basics
      • 02 Conditional Probability, Independent Events, & Exercise
      • 03 Reliability Metrics & Statistics
      • 04 Common Distributions & Weibull Distribution
      • 05 Conditional Reliability & Exercise
      • 06 Review Exercises
      • 07 Useful Discrete Distributions & Exercise
    • M03 Assessing & Selecting Models for Time-to-Failure Data
      • 01 Overview of Distribution Fitting & Reliability
      • 02 Probability Plots & Minitab Demonstration
      • 03 Constructing Probability Plots
      • 04 Distribution Fitting with Right-Censored Data
      • 05 Exercises
      • 06 Distribution Fitting with Multiple Failure Modes
      • 07 Exercise and Module Wrap-up
    • M04 Estimation of Reliability Metrics
      • 01 Overview of Reliability Estimation & Methods
      • 02 Confidence Intervals & Bounds
      • 03 Using Minitab to Estimate Reliability Metrics (Demo)
      • 04 Exercise
      • 05 Reliability Estimation with Censored Data
      • 06 Comparing Multiple Groups
      • 07 Exercises
      • 08 Handling Multiple Failure Modes & Exercise
      • 09 Non-Parametric Estimation
      • 10 Other Methods for Reliability Prediction
    • M05 Introduction to System Reliability
      • 01 System Reliability Overview & Basic Series Systems
      • 02 Basic Parallel Systems & Short Exercise
      • 03 k-out-of-n Parallel Systems & Combination Systems
      • 04 Exercises
      • 05 Complex Systems
      • 06 Reliability Importance, Reliability Allocation, & other Concepts
    • M06 Reliability Test Planning
      • 01 Reliability Testing Ideas
      • 02 Reliability Test Planning & Censoring Schemes
      • 03 Reliability Estimation Test Planning
      • 04 Exercises
      • 05 Reliability Demonstration Test Planning
      • 06 Exercise
      • 07 Zero Failure Test Plans Special Case & Module Wrap-up
    • M07 Analysis of Warranty Data
      • 01 Warranty Analysis Overview & Key Concepts
      • 02 Data Setup & Calculations
      • 03 Minitab Demonstration
      • 04 Exercise
    • M08 Design for Reliability (DFR)
      • 01 Design for Reliability (DFR) Overview
      • 02 DFR Process & Methodology Overview
    • M09 Introduction to Advanced Topics
      • 01 Types of Accelerated Life Testing (ALT)
      • 02 Introduction to Quantitative ALT
      • 03 Introduction to Repairable System Analysis
      • 04 Stress-Strength Analysis


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by Steven Wachs Leave a Comment

01 Types of Accelerated Life Testing (ALT)

01 Types of Accelerated Life Testing (ALT)

Module 9 Introduction to Advanced Topics

Lesson M09-01

Text: n/a

Duration: 10 minutes

  • Reliability Analysis Methods
    • M01 Reliability Concepts & Data
      • 01 Why Reliability & Typical Questions
      • 02 Defining Reliability
      • 03 Type of Reliability Data & Unique Aspects
      • 04 Censored Data
      • 05 The Bathtub Curve & Reliability Function
    • M02 Probability & Reliability Statistics
      • 01 Probability Basics
      • 02 Conditional Probability, Independent Events, & Exercise
      • 03 Reliability Metrics & Statistics
      • 04 Common Distributions & Weibull Distribution
      • 05 Conditional Reliability & Exercise
      • 06 Review Exercises
      • 07 Useful Discrete Distributions & Exercise
    • M03 Assessing & Selecting Models for Time-to-Failure Data
      • 01 Overview of Distribution Fitting & Reliability
      • 02 Probability Plots & Minitab Demonstration
      • 03 Constructing Probability Plots
      • 04 Distribution Fitting with Right-Censored Data
      • 05 Exercises
      • 06 Distribution Fitting with Multiple Failure Modes
      • 07 Exercise and Module Wrap-up
    • M04 Estimation of Reliability Metrics
      • 01 Overview of Reliability Estimation & Methods
      • 02 Confidence Intervals & Bounds
      • 03 Using Minitab to Estimate Reliability Metrics (Demo)
      • 04 Exercise
      • 05 Reliability Estimation with Censored Data
      • 06 Comparing Multiple Groups
      • 07 Exercises
      • 08 Handling Multiple Failure Modes & Exercise
      • 09 Non-Parametric Estimation
      • 10 Other Methods for Reliability Prediction
    • M05 Introduction to System Reliability
      • 01 System Reliability Overview & Basic Series Systems
      • 02 Basic Parallel Systems & Short Exercise
      • 03 k-out-of-n Parallel Systems & Combination Systems
      • 04 Exercises
      • 05 Complex Systems
      • 06 Reliability Importance, Reliability Allocation, & other Concepts
    • M06 Reliability Test Planning
      • 01 Reliability Testing Ideas
      • 02 Reliability Test Planning & Censoring Schemes
      • 03 Reliability Estimation Test Planning
      • 04 Exercises
      • 05 Reliability Demonstration Test Planning
      • 06 Exercise
      • 07 Zero Failure Test Plans Special Case & Module Wrap-up
    • M07 Analysis of Warranty Data
      • 01 Warranty Analysis Overview & Key Concepts
      • 02 Data Setup & Calculations
      • 03 Minitab Demonstration
      • 04 Exercise
    • M08 Design for Reliability (DFR)
      • 01 Design for Reliability (DFR) Overview
      • 02 DFR Process & Methodology Overview
    • M09 Introduction to Advanced Topics
      • 01 Types of Accelerated Life Testing (ALT)
      • 02 Introduction to Quantitative ALT
      • 03 Introduction to Repairable System Analysis
      • 04 Stress-Strength Analysis

 

Types of Accelerated Life Testing (ALT)

In the first of two topics introducing Accelerated Life Testing, we discuss types of accelerated tests. Highly Accelerated Life Tests and Highly Accelerated Stress Screening are introduced.

 

  • Reliability Analysis Methods
    • M01 Reliability Concepts & Data
      • 01 Why Reliability & Typical Questions
      • 02 Defining Reliability
      • 03 Type of Reliability Data & Unique Aspects
      • 04 Censored Data
      • 05 The Bathtub Curve & Reliability Function
    • M02 Probability & Reliability Statistics
      • 01 Probability Basics
      • 02 Conditional Probability, Independent Events, & Exercise
      • 03 Reliability Metrics & Statistics
      • 04 Common Distributions & Weibull Distribution
      • 05 Conditional Reliability & Exercise
      • 06 Review Exercises
      • 07 Useful Discrete Distributions & Exercise
    • M03 Assessing & Selecting Models for Time-to-Failure Data
      • 01 Overview of Distribution Fitting & Reliability
      • 02 Probability Plots & Minitab Demonstration
      • 03 Constructing Probability Plots
      • 04 Distribution Fitting with Right-Censored Data
      • 05 Exercises
      • 06 Distribution Fitting with Multiple Failure Modes
      • 07 Exercise and Module Wrap-up
    • M04 Estimation of Reliability Metrics
      • 01 Overview of Reliability Estimation & Methods
      • 02 Confidence Intervals & Bounds
      • 03 Using Minitab to Estimate Reliability Metrics (Demo)
      • 04 Exercise
      • 05 Reliability Estimation with Censored Data
      • 06 Comparing Multiple Groups
      • 07 Exercises
      • 08 Handling Multiple Failure Modes & Exercise
      • 09 Non-Parametric Estimation
      • 10 Other Methods for Reliability Prediction
    • M05 Introduction to System Reliability
      • 01 System Reliability Overview & Basic Series Systems
      • 02 Basic Parallel Systems & Short Exercise
      • 03 k-out-of-n Parallel Systems & Combination Systems
      • 04 Exercises
      • 05 Complex Systems
      • 06 Reliability Importance, Reliability Allocation, & other Concepts
    • M06 Reliability Test Planning
      • 01 Reliability Testing Ideas
      • 02 Reliability Test Planning & Censoring Schemes
      • 03 Reliability Estimation Test Planning
      • 04 Exercises
      • 05 Reliability Demonstration Test Planning
      • 06 Exercise
      • 07 Zero Failure Test Plans Special Case & Module Wrap-up
    • M07 Analysis of Warranty Data
      • 01 Warranty Analysis Overview & Key Concepts
      • 02 Data Setup & Calculations
      • 03 Minitab Demonstration
      • 04 Exercise
    • M08 Design for Reliability (DFR)
      • 01 Design for Reliability (DFR) Overview
      • 02 DFR Process & Methodology Overview
    • M09 Introduction to Advanced Topics
      • 01 Types of Accelerated Life Testing (ALT)
      • 02 Introduction to Quantitative ALT
      • 03 Introduction to Repairable System Analysis
      • 04 Stress-Strength Analysis


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