SPC for non-normal distributions
Statistical Process Control for Non-Normal Distributions

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What to Do When It's Not a Bell Curve

DATES & TIMES

LIVE
May 22, 2012, at 1:00 p.m. EDT | 10:00 a.m. PDT
Please check your time zone for the correct local time.


ON
DEMAND 
 >>Click here to view the On-Demand Webinar        

 
LENGTH
One hour
 
 
PRICE
$199
 
 
SUMMARY
Generally accepted practices for statistical process control (SPC) and process capability calculations rely on the assumption that the process follows the normal distribution. The bell curve is however far more common in textbooks than it is in the real world where data can follow the gamma, Weibull, or other non-normal distributions.

A highly skewed distribution will no more obey the mathematical assumptions that apply to a bell curve than a square peg will fit a round hole. This means that control charts that rely on the normality assumption will have unknown and quite possibly unacceptable false alarm rates. In addition, reported process capability indices will not reflect accurately the process' nonconforming fraction; "Your Six Sigma process just delivered 200 (or even more) defects per million opportunities!" Commercial software packages such as StatGraphics and Minitab, however, offer the ability to customize the peg for the hole, i.e., fit a suitable non-normal distribution to the process data.

Quality practitioners who are already familiar with the basics of SPC will learn how to recognize non-normal processes, along with techniques for developing suitable control charts that will perform with known false alarm rates on the factory floor. Participants will also learn how to calculate process performance indices that reflect accurately the nonconforming fraction (DPMO or whatever is required) in the processes in question.


PARTICIPANTS WILL LEARN:
  • The prevalence of non-normal distributions in real world process, and understand that traditional or textbook methods are not suitable for dealing with them.
  • To recognize the need to perform goodness of fit tests before accepting any assumptions about a distribution.
  • To understand the limitations of transformations and the Central Limit Theorem for statistical process control and especially process performance index calculations for nonnormal systems.
  • How to set up suitable control charts and calculate process performance indices that reflect the actual nonconforming fraction.

COURSE OUTLINE
  • What are nonnormal distributions, and when are they likely to occur?
  • Standard calculations of control limits and capability indices are not accurate when the underlying distribution is nonnormal.
  • Transformations can normalize nonnormal distributions sufficiently for SPC charts to work properly, but they are not suitable for calculating the nonconforming fraction at the parts per million or per billion level, i.e. at Six Sigma levels.
  • Identify and fit the correct nonnormal distribution to the process data.
    • Lower detection limits and "nondetects" are of interest in environmental applications.
  • Set up control charts with meaningful control limits.
  • Calculate process performance indices to reflect the actual nonconforming fraction (defects per million opportunities or equivalent).
  • It is also possible to calculate confidence intervals for the process performance indices.
  • Questions and discussions

BONUS!
  • Unlimited viewing of the recorded version of this webinar for 14 days. So even if you forget to attend or can't make the live version, you can still get the information you need.
  • Certificate of attendance for each PAID participant
  • Get your specific questions answered in a live Q&A session during the webinar
  • FREE copy of the SPC Control Chart Simulator software
  • Our money-back guarantee 

PRESENTER


 
William A. Levinson, P.E., is the principal of Levinson Productivity Systems, P.C. He is an ASQ Fellow, Certified Quality Engineer, Quality Auditor, Quality Manager, Reliability Engineer, and Six Sigma Black Belt. He holds degrees in chemistry and chemical engineering from Penn State and Cornell Universities, and degrees in business administration and applied statistics from Union College, and he has given presentations at the ASQ World Conference, TOC World 2004, and other national conferences on productivity and quality.

Levinson is also the author of several books on quality, productivity, and management. Henry Ford's Lean Vision is a comprehensive overview of the lean manufacturing and organizational management methods that Ford employed to achieve unprecedented bottom line results, and Beyond the Theory of Constraints describes how Ford's elimination of variation from material transfer and processing times allowed him to come close to running a balanced factory at full capacity. Statistical Process Control for Real-World Applications shows what to do when the process doesn't conform to the traditional bell curve assumption.

 
 
HOW DOES THIS ALL WORK?
After you register for the Webinar, you will receive a confirmation e-mail. It will contain a Web link to access the visual portion of the event through your Web browser. It will also contain an a phone number and access code that you will use to hear the audio portion of the event. 
 
 
PRICING
We are so confident that you will find this webinar valuable that we offer a 100% money back guarantee, making this a risk-free investment. If you are dissatisfied with the webinar, just let us know by phone or e-mail within 24 hours of the conclusion of the webinar, and we will issue you a full refund.


PLEASE NOTE: Participation in this webinar is just $199 per site and allows access to one Internet connection and one phone line.



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