Introduction to the Course

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

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

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.

Training Objectives

The key training objectives are summarized below:

• Understand reliability concepts and unique aspects of reliability data
• Understand underlying probability and statistical concepts for reliability analysis
• Develop competency in the modeling and analysis of time-to-failure data
• Understand reliability metrics and how to estimate and report them
• Handle Multiple Failure Modes
• Estimate reliability of subsystems and systems
• Become aware of system reliability activities such as Reliability Block diagramming, Reliability importance, and Reliability allocation
• Determine if reliability specifications are met (at specified confidence level) or whether design improvements are required
• Develop competency in the planning of reliability tests (sample sizes)
• Develop reliability demonstration test plans (testing time vs. number of units tradeoffs)
• Analyze existing warranty data to predict future returns

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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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 Reliability Analysis Methods Course

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

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Master Reliability Analysis Methods Using Minitab 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. We use Minitab software for the examples and exercises.

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 process stability and quality.

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 9 modules, with a total of 52 lessons including 10 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?

An interest in reliability analysis methods Or, more accurately, an interest in understanding how to analyze life data for your prototypes, products, or systems.

Familiarity with basic statistical concepts is not necessary for this course.

What is your return policy?

If you are not satisfied with the content, send me an email within 30 days for a full refund.

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References

Here are the two course reference texts.

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

Download the Reliability Analysis course 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 “Reliability” to view the available hardcopy references for this course.

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