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 Hero
    • 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
      • Breaking Bad for Reliability
      • 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
      • The RCA
      • Communicating with FINESSE
    • 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 Hardware Product Develoment Lifecycle
      • The Manufacturing Academy
  • eBooks
  • Resources
    • Special Offers
    • Accendo Authors
    • FMEA Resources
    • Glossary
    • Feed Forward Publications
    • Openings
    • Books
    • Webinar Sources
    • Journals
    • Higher Education
    • Podcasts
  • Courses
    • Your Courses
    • 14 Ways to Acquire Reliability Engineering Knowledge
    • 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
  • Webinars
    • Upcoming Live Events
    • Accendo Reliability Webinar Series
  • Calendar
    • Call for Papers Listing
    • Upcoming Webinars
    • Webinar Calendar
  • Login
    • Member Home
Home » Podcast Episodes » Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance » SOR 254 Why do Reliability Engineers Still Use 217?

by Kirk Gray 4 Comments

SOR 254 Why do Reliability Engineers Still Use 217?

Why do Reliability Engineers Still Use 217?

Abstract

Kirk and Fred discussing the continued use of Reliability prediction and the very outdated government reference document, MIL HDBK 217.

Key Points

Join Kirk and Fred as they discuss a old subject of the use of MIL 217, which is still referenced by many companies, and its value and validity.

Topics include:

  • The value or cost of following or using MIL 217 for any purpose
  • Using real field data is a reasonable way of predicting future iterations of similar products.
  • Components and materials have changed significantly in the 25+ years since the last revision, and the physics of failure are not the same as for electronic devices from 25 years ago.

Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques, to field data analysis approaches.


Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance
Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance
SOR 254 Why do Reliability Engineers Still Use 217?
Loading
00:00 / 32:02
RSS Feed
Share
Link
Embed

Download filePlay in new windowDuration: 32:02

Download Audio RSS

Show Notes

Here is a link to the article “Exposing Reliability Conflict of Interest” posted on Accendo Reliability that Fred and me discuss in this podcast.

Here is the link (public domain) US Army and CALCE document “Reliability Prediction- Continued Reliance on a Misleading Approach”. Please distribute freely.

Here is a link to Kirk’s popular Accendo article “Why the Drain in the Bathtub Curve Matters” .

For more information about Kirk’s Consulting services, please see his Accelerated Reliability Solutions website please click here

To see or purchase Kirk’s new book co-authored with John Paschkewitz, “Next Generation HALT and HASS: Robust Design of Electronics and Systems” please click on this link.

We always appreciate your feedback and questions. Thanks for listening.

Filed Under: Speaking Of Reliability: Friends Discussing Reliability Engineering Topics | Warranty | Plant Maintenance, The Reliability FM network

About Kirk Gray

My Passion for developing reliable products

Why did it fail?

This is the fundamental question that drove my career from first repairing electronics in the 1970’s to today. It was from this perspective that my passion for reliability engineering grew from investigating, discovering and understanding of why products fail. By starting with how electronics systems actually fail (empirical not theoretical) gave me a frame of reference to understand ways to rapidly discover failure mechanisms.

Comments

  1. R N A Kumar Kuncham says

    October 12, 2017 at 11:40 PM

    Hi Fred,

    Thanks for the podcast. Well in my previous organisation i used Mil-217 to calculate the failure rates of electronic components and use them in FMEA to identify the failure rates of different failures. These events were used in quantitative FTA to check the whether the hazard condition is meeting its safety targets of passenger vehicles.
    Even though there is RIAC-217+ , IEC 62380 are available for calculation of failure rates we were using Mil-217 as it gives worst case failure rates and if the safety target of hazard conditions are met with these then we can have more confidence on the risk probability of the hazard condition.

    Kumar

    Reply
    • Kirk Gray says

      October 13, 2017 at 11:29 AM

      Hi Kumar,
      Thanks for listening to our podcast. I am glad you liked it.
      The points I made in the podcast were that the foundations of MIL 217 and consequently all of the prodigy such as Relex, Telccordia and others are invalid and result in misleading and sometimes costly design changes that are not based on physics of failure.
      The US Army material specialist published a paper explaining why these reliability methods are a misleading approach to developing reliable systems.
      You can download and distribute it freely (it is in the public domain) from this link http://www.acceleratedreliabilitysolutions.com/images/Reliability_Predictions_Continued_Reliance_on_a_Misleading_Approach.pdf

      Reply
  2. David Coit says

    April 12, 2018 at 1:57 PM

    I reached back into the archive, and gave this one a listen. I mostly agree with Kirk this time. While Fred clearly denounces 217, he says that is does promote some positive design practices such as fewer parts,, derating, etc. I agree with Kirk that, even if that is true, there are better ways to achieve that.

    In the comment above, Kirk says the foundations of 217 are invalid. I wouldn’t say they were invalid, just misguided. Instead of “invalid,” I would say they are inapplicable, inappropriate, inaccurate and woefully outdated. Even if they were kept up-to-date, there would be no value-added.

    I am knowledgeable about the origins, development and intent of those models. Many of the pi-factors are fictitious in my opinion, and always were. The pi-factors for package type, screening, quality, temperature, derating were introduced into the models without sufficient justification to promote what was considered to be good design practices, and to penalize what was considered to be bad design practices. However, the actual numbers themselves were often not justifiable.

    Reply
    • Kirk Gray says

      April 13, 2018 at 9:58 AM

      Thanks so much for your comments on our podcast David. It means a lot coming from someone with your experience and knowledge. Maybe “invalid” was not the correct term but you have given additional reasons that MIL 217 is misguided and its use adds no value-added.
      Thanks again for listening, and your feedback

      Reply

Leave a Reply Cancel reply

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

Speaking of Reliability podcast logo Subscribe and enjoy every episode
Google
Apple
Spotify
Enjoy an episode of Speaking of Reliability. Where you can join friends as they discuss reliability topics. Join us as we discuss topics ranging from design for reliability techniques, to field data analysis approaches.

Join Accendo

Receive information and updates about podcasts and many other resources offered by Accendo Reliability by becoming a member.

It’s free and only takes a minute.

Join Today

Please login with your site registration to suggest a topic or post a question.

If you haven't registered, it's free and takes only a moment.

Registration

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

Book the Course with John
  Ask a question or send along a comment. Please login to view and use the contact form.
This site uses cookies to give you a better experience, analyze site traffic, and gain insight to products or offers that may interest you. By continuing, you consent to the use of cookies. Learn how we use cookies, how they work, and how to set your browser preferences by reading our Cookies Policy.