ComplianceOnline

Process Capability for Normal and Non-Normal Data

Instructor: Steven Wachs
Product ID: 705020
  • Duration: 75 Min

recorded version

$249.00
1x Person - Unlimited viewing for 6 Months
(For multiple locations contact Customer Care)
Recorded Link and Ref. material will be available in My CO Section
Last Recorded Date: Dec-2017

Training CD / USB Drive

$349.00
One CD/USB is for usage in one location only.
(For multiple locations contact Customer Care)
CD/USB and Ref. material will be shipped within 15 business days

Customer Care

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Read Frequently Asked Questions

The webinar will provide methods for assessing and understanding Process Capability. Participants should be able to immediately apply the methods presented.

Why Should You Attend:

This webinar discusses methods for estimating process capability for both normal and non-normal data. Pre-requisites for estimating process capability (e.g. establishing process stability) are discussed first. Distributions are briefly described and methods for estimating ppm levels are presented. The use and limitations of common process capability indices (e.g. Cpk and Ppk) are discussed. It is vital that appropriate methods are used for estimating capability when the data is not well described by a normal distribution. Failure to do so often results in overly optimistic process capability estimates. Methods for testing for normality are discussed. Both transformations and distribution fitting are presented as methods to assess capability for non-normal data. The webinar includes several examples to illustrate the methods.

Learning Objectives:

  • Understand pre-requisites for assessing process capability
  • Apply methods for estimating capability for both normal and non-normal data
  • Test data for normality
  • Understand and interpret process capability indices

Areas Covered in the Webinar:

  • Process Stability and Process Capability
  • Methods for Assessing Process Capability
  • Estimating PPM
  • Calculating and Interpreting Capability Indices (Cp, Cpk, Pp, Ppk, Cpm)
  • Estimating uncertainty (confidence intervals)
  • Shortcomings of Capability Indices
  • Testing for Normality
  • Methods for handling Non-Normal Data (Distribution fitting, transforming data)

Who Will Benefit:

The target audience includes personnel involved in product/process development and manufacturing

  • Quality Personnel
  • Manufacturing Personnel
  • Operations / Production Managers
  • Production Supervisors
  • Supplier Quality personnel
  • Quality Engineering
  • Quality Assurance Managers, Engineers
  • Process or Manufacturing Engineers or Managers
Instructor Profile:
Steven Wachs

Steven Wachs
Principal Statistician, Integral Concepts, Inc

Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.

Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty.

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Refund Policy

Registrants may cancel up to two working days prior to the course start date and will receive a letter of credit to be used towards a future course up to one year from date of issuance. ComplianceOnline would process/provide refund if the Live Webinar has been cancelled. The attendee could choose between the recorded version of the webinar or refund for any cancelled webinar. Refunds will not be given to participants who do not show up for the webinar. On-Demand Recordings can be requested in exchange.

Webinar may be cancelled due to lack of enrolment or unavoidable factors. Registrants will be notified 24hours in advance if a cancellation occurs. Substitutions can happen any time.

If you have any concern about the content of the webinar and not satisfied please contact us at below email or by call mentioning your feedback for resolution of the matter.

We respect feedback/opinions of our customers which enables us to improve our products and services. To contact us please email customercare@complianceonline.com call +1-888-717-2436 (Toll Free).

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