{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

Top 10 SPC Mistakes, Part 1

There are many ways to fail an SPC implementation, but yours doesn’t have to be one of them

Douglas C. Fair
Mon, 04/16/2018 - 12:03
  • Comment
  • RSS

Social Sharing block

  • Print
  • Add new comment
Body

As you think about your organization’s manufacturing quality efforts—what you’ve overcome and what you hope to accomplish in the future—there is something you need to know.

ADVERTISEMENT

You: What? Who? Me?

Me: Yes, you. No matter how long you’ve been playing this game (and I know many of you have been playing it as long as I have), you find that there are many pitfalls to implementing a statistical process control (SPC) system.

I’ve been doing this for about 30 years, and I’ve worked with and witnessed hundreds of SPC implementations. Many have been very successful, virtually transforming plants and corporate cultures. A few have been less than successful. And many—most, actually—occupy the murky middle ground between success and failure. These deployments are usually characterized by an interesting mix of localized support and excitement, coupled with an undercurrent of corporate indifference.

You: OK, I’m interested. Go on.

 …

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

Comments

Submitted by Dr Burns (not verified) on Wed, 04/18/2018 - 21:42

SPC Mistakes

Everyone can and should learn and understand SPC.  The problem is, thanks to Six Sigma Stupidity, most people have no idea of the fundamentals.  SPC has been turned into such a mess it appears difficult.The number 1 problem is that people do not understand that control charts work for ANY distribution.  They do NOT depend on normality.  You should NEVER normalize data.

As Dr Wheeler points out, you don't need rules other than Rule #1.  You don't even need p, pn, c and U charts ... just use the Swiss Army knife XmR.  You don't need a computer to draw and use control charts.Anyone who follows Dr Wheeler's recommendations should have little trouble.

https://www.linkedin.com/pulse/six-sigma-psychology-part-2-tony-burns/

https://www.linkedin.com/pulse/blame-mr-bill-smith-tony-burns/

  • Reply

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