{domain:"www.qualitydigest.com",server:"169.47.211.87"} Skip to main content

User account menu
Main navigation
  • Topics
    • Customer Care
    • FDA Compliance
    • Healthcare
    • Innovation
    • Lean
    • Management
    • Metrology
    • Operations
    • Risk Management
    • Six Sigma
    • Standards
    • Statistics
    • Supply Chain
    • Sustainability
    • Training
  • Videos/Webinars
    • All videos
    • Product Demos
    • Webinars
  • Advertise
    • Advertise
    • Submit B2B Press Release
    • Write for us
  • Metrology Hub
  • Training
  • Subscribe
  • Log in
Mobile Menu
  • Home
  • Topics
    • 3D Metrology-CMSC
    • Customer Care
    • FDA Compliance
    • Healthcare
    • Innovation
    • Lean
    • Management
    • Metrology
    • Operations
    • Risk Management
    • Six Sigma
    • Standards
    • Statistics
    • Supply Chain
    • Sustainability
    • Training
  • Login / Subscribe
  • More...
    • All Features
    • All News
    • All Videos
    • Contact
    • Training

Three Ways to Expose MTBF Problems

Are you getting the data you really need?

Fred Schenkelberg
Tue, 02/06/2018 - 12:03
  • Comment
  • RSS

Social Sharing block

  • Print
Body

MTBF use and thinking is still rampant. It affects how our peers and colleagues approach solving problems, and there is a full range of problems that come from using the “mean time between failure” (MTBF) metric.

ADVERTISEMENT

So, how do you spot the signs of MTBF thinking even when MTBF is not mentioned? Let’s explore some approaches that you can use to ferret out MTBF thinking and move your organization toward making informed decisions concerning reliability.

Ask, ‘What do you really want?’

Really, it is just that simple. Ask what it is you really mean about durability or how long the item should work or something similar. If someone asks for MTBF, they often are interested in the probability of failure over some duration within some set of conditions.

Asking for MTBF provides an inverse of the average failure rate—not at all what they may really have wanted to know.

If they really want the average inverse failure rate, ask them why? What decision are they going to make using that information? Is knowing MTBF the right information to inform the pending decision? If not—and MTBF, as you know, is not generally informative at all—suggest using reliability (i.e., probability of failure over a time period).

 …

Want to continue?
Log in or create a FREE account.
Enter your username or email address
Enter the password that accompanies your username.
By logging in you agree to receive communication from Quality Digest. Privacy Policy.
Create a FREE account
Forgot My Password

Add new comment

Image CAPTCHA
Enter the characters shown in the image.
Please login to comment.
      

© 2025 Quality Digest. Copyright on content held by Quality Digest or by individual authors. Contact Quality Digest for reprint information.
“Quality Digest" is a trademark owned by Quality Circle Institute Inc.

footer
  • Home
  • Print QD: 1995-2008
  • Print QD: 2008-2009
  • Videos
  • Privacy Policy
  • Write for us
footer second menu
  • Subscribe to Quality Digest
  • About Us
  • Contact Us