No MTBF Blog

A site devoted to the eradication of MTBF. The following excepts are recent posts of the

NoMTBF blog. Click through or visit nomtbf.com to learn more about the perils and what you can do instead of using MTBF.

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  • A Life Data Analysis Challenge
    Here is a Challenge: Life Data Analysis Some years ago a few colleagues compared notes on results of a Weibull analysis. Interesting we all started with the same data and got different results. After …
  • 10 Reasons to Avoid MTBF
    “Why do you avoid MTBF?” I got this question the other day. The person knew about the NoMTBF campaign. They didn’t quite understand why it was a big deal, especially for me, to avoid MTBF. The tiff be …
  • The Many Ways of Data Analysis
    Given Some Data, Do Data Analysis Let’s say we have a set of numbers, {2.3, 4.2, 7.1, 7.6, 8.2, 8.4, 8.7, 8.9, 9.0, 9.1} and that is all we have at the moment. How many ways could you analyze this set …
  • REVIEW Analyzing Repairable System Failures Data
    REVIEW: Analyzing Repairable System Failures Data Recently, Ziad let me know he published an article titled Analyzing Repairable System Failures Data in the April-May 2017 issue of Uptime magazine (su …
  • We’ll Meet Your Reliability But Not Your Spec
    A Problem With MTBF (Physics gets in the way!) A Guest Post by Kevin Walker I had an interesting case study a couple weeks ago, where “I’m giving you what you want, not what you asked for “ when the r …
  • The Challenges in Reliability Engineering
    What are the Other Challenges in Reliability Creating a product or system that lasts as long as expected, or longer, is a challenge. It’s a common challenge that reliability engineering and entire eng …
  • The MTBF Estimation Wizard
    Get Your MTBF Estimation Here MTBF is a magic method for predicting time to failure for your new design. On this page we present to you the fastest way to achieving MTBF. Maybe The Best Function ever! …
  • Why Do a Parts Count Prediction?
    Why Would You Do a Parts Count Prediction? Is there any useful result from a parts count prediction? In most cases that I’ve seen parts count predictions used they are absolutely worthless. Worse, is …
  • MTBF and Mean of Wearout Data
    MTBF is Just the Mean, Right? A conversation the other day involved how or why someone would use the mean of a set of data described by a Weibull distribution. The Weibull distribution is great at des …
  • Is Using MTBF Habit Forming?
    With Enough Reinforcement, MTBF Use Becomes a Habit A habit you should examine and stop. At first, I wondered if MTBF use was addictive, yet thought that comparison would belittle the very serious iss …
  • Learn Reliability, Not Just MTBF
    MTBF is a Starting Point, Only MTBF is not meant to be used for anything other than teaching someone new to reliability how the various functions and tasks work. Using MTBF in the real world is an ove …
  • Enabling Great Reliability Decisions
    Reliability is about making the right decision, each time. Answering Questions A common role during a first assignment as a reliability engineering is to answer a question or accomplish a task. It may …
  • Field Failure: A Quality or Reliability Problem
    Field Failure: A Quality or Reliability Problem When my car fails to start, as a customer I only know that my car didn’t start. When my phone fails to turn on, or the dishwasher leaks, or the printer …
  • How Does One Change an Industry
    How Does One Change an Industry Jobs at Apple has done it. You can, too. Change an industry. The advent of iTunes and iPods forever changed how the world buys and listens to music. While Jobs had the …
  • Reliability is Not Metrics, It’s Decision Making
    Reliability is Not Metrics, It’s Decision Making MTBF, KPIs, yield, return rate, warranty… bah! We may use one or more of these when establishing product reliability goals. When tracking performance. …
If you’d like to learn more about MTBF and how to improve your reliability metrics, let’s talk.