Six Sigma Quality Resources for Achieving Six Sigma Results
BMGI Webinar Series Air Academy Six Sigma Certifications from Villanova University Click To Learn More About PremiumLinks
 Home > Statistics  > Measurement System Analysis Search:
 
 for    
Publications
Marketplace
| iSixSigma
Stuff
| iSixSigma
Blogosphere
| Events
Calendar
| The
Dictionary
| Discussion
Forum
| Find
a Job
| Post
a Job
| Industry
News
| Newsletter
Signup
| Sigma
Calculator
| Online
Surveys
2008 Version! DMAIC Training Slides: 1,176 Slides + Instructor Notes and More for $99.99
iSixSigma Magazine Signup
 iSixSigma Live!  
  Summit & Awards
  Most Successful Start-up
  Breakthrough Projects
  Speaker Proposals
 Free Newsletters!  
  Sign Up Now!
  Manage Subscriptions
  New To Six Sigma?
  Six Sigma Q&A
  Cert. Practice Test
  Problem Solving Wizard
  ISSSP Info
ISSSP Is The Official Six Sigma Society of iSixSigma
 Channels 
  Europe
  Financial Services
  Healthcare
  Military
  Software / IT
 Quality Directory 
  Best Practices
  Certifications/Awards
  Consultants
  Culture Evolution
  Methodologies
  News & Events
  Organizations
  Product/Service Guides
  Statistics & Analysis
   Normality
   Variation
  Tools & Templates
  Voice of the Customer
  Free Whitepapers
 Related Topics 
  Innovation
  Outsourcing/Offshoring
  Business Process Mgt
 Quick Access 
  Help
  Search
  Advertise Here
  Article Archives
  Newsletter Archives
 User Feedback 
  Please suggest site
  improvements.
 
  [ larger form ]

Measurement Uncertainty as a Real World Issue

Bookmark This Page Bookmark This Page
Email This Page Email This Page
Format for Printing Format for Printing
Cite This Article Cite This Article
Submit an Article Submit an Article
Six Sigma Article Archive Read More Articles
Related Tools & Articles
  • Discussion Forum
    "We have performance testers for assembled DC motors and fan modules....Process Engineering argues that we will never be acceptable since the motors perform differently each time they are run. We are trying to...eliminate variables..."

    Contribute to this Discussion

    B
    New from iSixSigmaElectric Load Forecasting Project Example

    Lessons in Six Sigma ebook

    4th Annual iSixSigma Global Salary Survey Research Report
    y Richard Clark

    As the industrial world continues to become more competitive, measurement tolerances will become tighter. At the same time, customers insist that products be produced at a lower cost. In this environment, the production floor of Six Sigma companies must continually improve the certainty of measurements without increasing costs.

    Most companies are at the early stages of a learning curve on the concept of measurement uncertainty. Therefore, the competitive standard is not yet truly defined. Companies functioning ahead of the curve are beginning to understand this concept and as they do, competitors and customers will begin to learn as well.

    To increase measurement ability, it is helpful to understand some of the concepts involved in the 4.11 element of QS 9000. The opening paragraph states: "Inspection measurement and test equipment shall be used in a manner which ensures that the measurement uncertainty is known and consistent with the required measurement capability." That element, in conjunction with element 4.4, refers to instruments used on the production floor to confirm product quality.

    The term "measurement uncertainty" is defined as the tolerance for measurement inaccuracy. The two entities that create measurement inaccuracy are error and variation. It is important to note that there is no generic quantification for uncertainty that applies across a broad spectrum of measurement situations. Some auditors mistakenly believe that errors found during calibration determine the total measurement uncertainty. However, the focus should be on identifying and then reducing the uncertainty of the measurement in a real world application.

    To properly evaluate measurement and test equipment, an auditor must move past a philosophy that all error and variation are caused by the measurement gage. Every measurement system is comprised of six elements:

    • Instrument
    • Operator
    • Part (or part characteristic)
    • Method (of measurement used)
    • Environment
    • Tolerance (size)

    A change in any one of these elements creates a new measurement system. Each element introduces separate sources of error and variation into the measurement result or, in the case of Tolerance, affects the magnitude of other elements. Consider Method: "When I hold the part and measure it I get one reading, but she rests the part on the granite plate and measures it and gets a different reading." That's because of different phenomena such as Abbe's error; different methods usually produce different results. Consider Part: "If I measure this outside diameter in several places (using a 0.00005-inch micrometer), I get all different readings." In today's real world resolution of microns and millionths, nothing is truly flat, round or parallel. Examples like these occur every day on the production floor and have very little to do with calibration and everything to do with measurement uncertainty. Calibration involves only one of the elements, the Instrument. The other five involve variables found within the production floor Environment. These five elements are removed from the equation in a controlled environment during calibration.

    Understanding the variation within a given measurement on the shop floor is much like a game of euchre, only instead of 4 suits, (hearts, clubs, spades and diamonds), there are the six elements above to deal with. More often than not, one of the elements is causing the majority of the variation or acting as a catalyst and causing variation within the other elements. This element can be viewed as a sort of "trump." In order to improve the measurement with the least amount of time and effort, one of two things must be accomplished: 1) The trump element must be isolated and improved, or 2) The other five elements must be improved (in-line, so to speak) to hold the trump in check.

    After identifying the six elements, it is usually easy to decide which system to analyze first. It is helpful to analyze data from defects or rework categories resident within existing production processes. A discussion of these categories with the operators on the floor will help determine sources of variation.

    An understanding of proper Gage R&R study techniques is needed to analyze and lower the amount of variation in each measurement system. As experience with the Gage R&R process evolves, the concept of measurement uncertainty becomes easier to grasp and implement within an analysis process.

    About the Author

    Richard Clark is a metrologist who publishes the e-newsletter Measurement in the Real World. He has worked in the field of metrology (measurement science), precision measurement and calibration since 1997. He has formal training in measurement systems analysis (Gage R&R) and estimating measurement uncertainty. Mr. Clark has written articles for such professional magazines as Tooling and Production, Quality in Manufacturing and CMM Monthly. He has developed a gage management system from the ground up. He lives in Portland, Indiana (USA) and can be reached at rcmetrology@yahoo.com.

     
    Rate This Article:  Current Rating: 3.83
      Poor    Excellent     
              1    2    3     4    5
    Copyright © 2000-2008 iSixSigma – All Rights Reserved
    Reproduction Without Permission Is Strictly Prohibited – Copyright Requests


    Publish an Article: Do you have a Six Sigma tip, learning or case study?
    Share it with the largest community of Six Sigma professionals, and be recognized by your peers.
    It's a great way to promote your expertise and/or build your resume. Read more about submitting an article.


    "The Bottom Line" Links
    BMG
    Upgrade Your Skills
    Master Black Belt Certification
    Get the industry's most Flexible, Robust Program for Professionals
    >> Find out more

    VILLANOVA
    UNIVERSITY
      Earn Your Lean, Green or Black Belt Six Sigma Master Certificate Online
    BOOST YOUR SALARY! *$38k more than uncertified counterparts. Learn From Industry Leaders!
      START NOW

    SIGMAPRO

    MBB, Lean Sigma, & DFSS

     

    when experience matters most...

    M O T O R O L A
    U N I V E R S I T Y
    Learn from the most experienced
    practitioners of Six Sigma in the world

    Public Training & Certification
    Click here to take a free Six Sigma Lesson
    J

    URΛN

     
    Lean Six Sigma Public Workshops
    Atlanta, GA - Sept 2008
    Become one of your organization's 'vital few'. Get Juran Certified.
     
    LSI
    Knowledge & Experience
    Get Your Lean Black Belt Certification -  in Denver         Register Now   -   Starts August 11!
                                                        >>Learn about LodeStar Institute specials..
    HOWARD UNIVERSITY
    Now offering Process Simulation !
    4 weeks + 1 cost saving project + 1 mentor + 1 caring instructor = 1 Marketable Certified Lean Six Sigma Black Belt
    WINSTON SALEM STATE UNIVERSITY
    Now offering Process Simulation !
    4 weeks + 1 cost saving project + 1 mentor + 1 caring instructor = 1 Marketable Certified Lean Six Sigma Black Belt
    THE UNIVERSITY OF
    TEXAS
    AT AUSTIN

    2 weeks + 1 project = Black Belt Certification
    .
    Find us on LinkedIn
    Join the iSixSigma Network
    and Connect with Other Six Sigma Pros
    .
    .
    iSixSigma Live! Summit & Awards
    Jan 13-16, 2009 • Miami, FL
    Save up to $700 • Click Here!
    Register by August 14
    .


    Download the iSixSigma Toolbar for 1-Click access. Search Your Way. Everyday. Without Delay.
    Get 1-Click iSixSigma access. Search Your Way. Everyday. Without Delay.

    BEST SELLING PRODUCTS (iSixSigma Publications)
    1. 2008 VERSION! Six Sigma DMAIC Training Slides
      The complete Lean Six Sigma DMAIC course prepares participants to perform the role of a LSS Black Belt; covering what’s ...
    2. NEW VERSION! Process Management Training Slides
      The OSSS Process Management course is designed in two phases comprised of:352 Powerpoint slidesInstructor notesSlide exp...
    3. Certified Lean Six Sigma Black Belt Assessment Exam
      Interested in assessing your knowledge of Lean Six Sigma? Preparing for certifications? Testing your students and traine...
    4. Gage R&R Excel Template
      Gage Repeatability and Reproducibility (R&R) studies measure the amount of measurement variation that is attributabl...
    5. E6 Sigma DMAIC EZ: Black Belt for Service
      E6 Sigma is THE Six Sigma Holy Grail. The first-ever Six Sigma training and implementation software, REAL Six Sigma is a...
    6. FMEA Excel Template
      Need to be more preventative, prioritize risks, or brainstorm possible failures in a process or product? Use the FMEA to...
    7. NEW VERSION! Six Sigma Black Belt (DMAIC) Training Slides
      The OSSS Six Sigma Black Belt course is comprised of: 1,176 PowerPoint slides, Instructor notes, Slide explanations, 37 ...
     

    Six Sigma AdLinks
    Rath & Strong
    Quality Companion 2: Improve your quality project execution
    SBTI Public Offerings, World Class MBB, Lean Enterprise
    SigmaXL: User Friendly Excel Add-ins for Statistical and Graphical Analysis
    Smarter Solutions Makes Lean Six Sigma Easier
    SigmaWorks: A complete toolbox for LSS & DFSS
    Michigan Engineering - Six Sigma Certifications
    E6 Sigma - The Real Six Sigma
    AdLinks Information


    Google AdWords
     
    Home | Discussion Forum | Event Calendar | Job Shop
    Link To iSixSigma | Rate This Page | Report A Problem | Free Content For Your Site | Submit Article For Publishing
     Terms of Service. ©2000-2008 iSixSigma. All rights reserved. v3.0lb, 2.2-A-244
    About iSixSigma · Contact Us · Privacy Policy · Site Map
    nogeo