{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

Information at the Gemba

Data input doesn’t output knowledge

Harish Jose
Mon, 08/29/2016 - 16:17
  • Comment
  • RSS

Social Sharing block

  • Print
Body

Uncertainty is all around us. A lean leader’s main purpose is to develop people so they can tackle uncertainty. There are two ways to tackle uncertainty: One is genchi genbutsu (go and see, or seeing for yourself), and the other is to employ the plan-do-check-act (PDCA) cycle, a method for learning and improvement developed by statistician Walter Shewhart.

ADVERTISEMENT

Claude Shannon, the father of Information Theory, viewed information as the possible reduction in uncertainty in a system. In other words, greater uncertainty presents a greater potential for new information. This can be easily shown as the following equation: New information gain = reduction in uncertainty.

Shannon called uncertainty “entropy” based on advice from his friend John Von Neumann, a mathematical genius and polymath. The entropy in Information Theory is not exactly the same as the entropy in thermodynamics. They are similar in that entropy is a measure of a system’s degree of disorganization. In this regard, information can be viewed as a measure of a system’s degree of organization. Shannon recalled his conversation with Von Neumann, which I quote here from Scientific American (1971), vol. 225, no. 3, p. 180:

 …

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