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An Interval for Capturing a High Percentage of the Process with Confidence

Presenter: Scott Kowalski, Senior Technical Trainer, Minitab, Inc., Sanford, FL, USA

Keywords: Capability Analysis, Statistics, Tolerance Intervals

Industry: Automotive, Healthcare, Manufacturing

Level: Intermediate


ABSTRACT

Many quality practitioners and Lean Six Sigma belts are familiar with the phrase: “we need a 95/99 interval for our process”. This interval is called a tolerance interval. Statistically, it means that you can be 95% confident that 99% of the population is within the interval. For example, what values of a critical to quality (CTQ) can you be 95% confident that 99% of all products will fall between? This can be especially useful for setting the specification limits of a new process/product within DFSS, but also helpful for quantifying an existing process/product.

Interval estimation is used to provide a range of uncertainty for CTQ measures. There are three types of statistical intervals used in practice: a confidence interval, a prediction interval, and a tolerance interval. This session will explain the difference between the three intervals and then focus on the use of tolerance intervals within the LSS framework. Industry examples will be used to motivate and illustrate the usefulness of tolerance intervals as well as show how tolerance intervals relate to capability analysis.



Participating Organizations at the Lean & Six Sigma  World Conference

Government Agencies

  • Department of Commerce
  • Department of Defense
  • Department of Energy
  • Department of Health & Human Svcs.
  • Department of Homeland Security

  • Department of Justice
  • Department of State
  • Department of the Treasury
  • Department of Transportation
  • Department of Veterans Affairs
  • Environmental Protection Agency
  • NASA
  • Naval Surface Warfare Center
  • Pentagon
  • U.S. Air Force

  • U.S. Army
  • U.S. Marine Corps
  • U.S. Navy
  • U.S. Veterans Affairs
  • United States Army Corps of Engineers

Corporations

  • AIG
  • Alcoa
  • AT&T
  • Bank of America Corp
  • BASF Corporation
  • Bayer Corporation
  • BMW
  • The Boeing Company
  • Bose Corporation
  • Bristol-Myers Squibb
  • Campbell Soup Company
  • Cardinal Health
  • Caterpillar
  • Chrysler Corporation
  • Chevron
  • Cisco Systems
  • Coca-Cola
  • Comcast
  • Daimler Chrysler
  • Disney
  • Dow Chemical


  • Dr Pepper 
  • Duracell
  • Dupont
  • Eastman Kodak
  • Facebook
  • Google
  • Exxon Mobil
  • Fedex
  • Ford Motor
  • General Electric 
  • General Motors
  • Gillette
  • Goodyear Tire
  • Hewlett Packard
  • Honeywell
  • Humana
  • IBM
  • Kohler
  • Lockheed Martin
  • Macy’s
  • M&M/Mars
  • ManpowerGroup
  • Maytag Appliances
  • Mercedes
  • Merck
  • Mitsubishi
  • Mobil Chemical
  • Motorola
  • NASA
  • Nestle 
  • Northrop Grumman
  • PepsiCo
  • Philip Morris International
  • PNC Financial Services Group
  • Pfizer
  • Pratt & Whitney
  • Procter & Gamble
  • Prudential
  • Raytheon
  • Rolls Royce Allison
  • Target
  • Johnson & Johnson 
  • Schindler Elevator Corporation
  • Schneider Electric
  • Shell
  • Siemens
  • Southwest Airlines
  • Staples
  • Tesla
  • Tiffany & Co.
  • Qualcomm
  • Underwriter Laboratories
  • UnitedHealth Group
  • United Technologies
  • Union Pacific
  • UPS
  • USAA
  • Verizon
  • Walmart
  • Wells Fargo
  • Westinghouse
  • Whirlpool
  • Xerox

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