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You are here: Home / Articles / First Impressions

by Fred Schenkelberg 10 Comments

First Impressions

First Impressions

Note: This first article in the NoMTBF campaign was published on April 1st, 2009. Thus, we’ve been at this and making progress for a long time and come a long was since starting the NoMTBF campaign. I am looking forward to your comments, contributions, and suggestions.

Fred

At first, MTBF seems like a commonly used and valuable measure of reliability. Trained as a statistician and understanding the use of the expected value that MTBF represented, I thought, ‘Cool, this is useful.’

Then, the discussions with engineers, technical sales folks, and other professionals about reliability using MTBF started. And the awareness that not everyone, and at times it seems very few, truly understood MTBF and how to properly use the measure.

How This NoMTBF Thing Got Started

I found myself mentioning the actual meaning and how I understood MTBF to others. This often turned into a short class or lecture. A quick turn to a technical reference or two to back up my claims. Then, an assessment of the now common understanding of the measure and the topic that prompted the discussion.

Over time I’ve collected quite a few stories and events around the use and misuse of MTBF. I gave a short presentation to a small audience of reliability professionals and received a lot of support and encouragement.

The idea of creating a campaign button emerged during one of these events. With friends’ help, the button design and creation happened. Over the past couple of years, I’ve handed out nearly 1,000 buttons worldwide. Of course, you can have one, too.

During another event, I mentioned the eradication of MTBF became a New Year’s Resolution, a Cause, or a Personal Mission. This was said in jest, yet the notion has some truth. Someone suggested that I set up a website around the topic, and a quick search found the domain nomtbf.com available. And, here it is. [originally at NoMTBF.com]

Going Forward

As stated in many presentations, let me know your stories and ‘issues’ surrounding the use and misuse of MTBF. Let’s learn from each other and continue the industry-wide correction of the misunderstandings that remain. And how to best move forward when all you have is MTBF-type information.

Over next few months I plan to post articles, papers, presentations and hints & tips concerning the re-education of those that need it most – our peers, colleagues and coworkers. It’s how we started the NoMTBF campaign and are now restarted it.

Filed Under: Articles, NoMTBF

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.

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Comments

  1. Tim Rodgers says

    December 10, 2012 at 4:02 PM

    Looking forward to more on this subject.

    Reply
  2. Paul Lancaster says

    December 29, 2012 at 12:40 PM

    Answer this simple question to find how useless the MTBF measurement is, “What is the MTBF of a 30 year old man in the U.S.?”

    Also the IEC seems to be using MTTF or Mean Time To Failure, is this worked out differently? see IEC 61850-3

    Reply
    • Fred Schenkelberg says

      December 29, 2012 at 5:50 PM

      Hi Paul,

      Interest view of asking about age. MTBF is a failure rate and not age, and your question strikes at that mis perception directly.

      IEC uses MTTF and it is calculated or estimated the same way – total hours divided by number of failures (or one if no failures). The IEC group and many others then debate endlessly about what is or is not included in ‘total hours’ and what is and is not a failure. Useless.

      cheers,

      Fred

      Reply
  3. Ricci says

    March 17, 2013 at 3:30 PM

    Pehaps I’m alone in this perspective, perhaps not….
    I and my staff generate and present MTBF data on many occasions. This typically stems from customer demand; given we have a number of customers who require MTBF data for our products. Whether it be publication or presentation of MTBF data, what I’ve seen ensue countless times (typically internally, but also from customers) is a debate – education on what is MTBF and “how can that be” the MTBF for “X”?! The discussion often evolves to frustration which then leads into a statisical class on accepting the MTBF calculation to spare all involved from going down the invitable dark statictical MTBF rabbit hole. I’ve reached the point where I’ve eliminated MTBF from various presentations to eliminate the confusion.

    Reply
    • Fred Schenkelberg says

      March 17, 2013 at 4:31 PM

      HI Ricci,

      Excellent – you have found the same issues that I have and have taken action. Much of the call to eradicate MTBF is simply to avoid confusion. Use something useful and understandable instead, like reliability.

      cheers,

      Fred

      Reply
  4. Don says

    October 14, 2013 at 2:39 AM

    Hi Fred,

    I really appreciate your effort in providing insights on why MTBF should not be used as a requirement for reliability. The used of MTBF is really giving us problems in meeting customer requirements (by analysis and field demonstration). But the sad part is that all of our customers are still using MTBF as their requirement for reliability. One crazy example I can share with you is a requirement from a customer to meet MTBF of 19,500 hours for a complex subsystem by analysis (using MIL-HDBK-217) and field demonstration (in 6 months demo period using Chi-square with 90% CL and 10% consumer’s risk and 10% producer’s risk). If you were to talk to the customer, what would the best strategy to explain to them that their requirement is not appropriate.

    Cheers,
    Don

    Reply
    • Fred Schenkelberg says

      October 16, 2013 at 11:57 AM

      Hi Don,

      I would ask them how many units they consider acceptable to have fail during mission time or some period of time (like five years). How much do they expect to have to pay for repairs and how long will down time be – and if that is acceptable or not.

      When they point to MTBF or test data do the conversion to number of expected failures per year. That usually gets the discussion going.

      good luck,

      Fred

      Reply
  5. Dianne says

    April 1, 2017 at 10:25 AM

    I am in CAPSIM as part of my MBA program. I find it totally ironic that professionals in the field do not subscribe to the MTBF theories, but professors and teachers preach it constantly, without debate nor backup problem solving.
    And also that MTBF is not even broached until the last class, the most important class of the MBA program.

    Reply
    • Fred Schenkelberg says

      April 2, 2017 at 10:09 AM

      Hi Dianne, yes instead of MTBF, your professors should be talking about reliability and doing so earlier in the program. Without a relible product there is very little the MBA educaiton can do for you or your customers. cheers, Fred

      Reply
  6. Larry George says

    February 21, 2024 at 10:27 PM

    Thank you for inviting me to give “Credible Reliability Prediction” (ASQ RD Editor Harold Williams called it “CRP”) course to HP in late 1900s? (I can’t remember.) CRP uses the field reliability of parts to estimate reliability of new products based on observed field reliability of old parts and the ratios of MTBF(new)/MTBF(old) (aka proportional hazards).
    (Nobody at HP contacted me about CRP, but I did play in the HP orchestra along with my father when I worked for Agilent.)
    The HP course was based on ASQ Reliability Division Monograph of same name. ASQ RD lost it or quit supporting it, so I republished it 2nd edition along with a user manual. CRP is still available, and I am still available if anyone is interested in the field reliability of their products or their parts. GAAP requires statistically sufficient data.
    https://sites.google.com/site/fieldreliability/credible-reliability-prediction and
    https://sites.google.com/site/fieldreliability/user-manual-for-credible-reliability-prediction
    Does anyone want a CRP MTBF?

    Reply

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