Process Capability for Normal and Non-Normal Data (Focus: Process Stability, Capability and Cp, Cpk, Pp, Ppk, Cpm)

Steven Wachs

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This webinar discusses methods for estimating process capability for both normal and non-normal data. Methods include estimating the proportion of defective products that may be produced as well as the calculation and use of common process capability indices (e.g. Cpk and Ppk). Process Capability assessments are discussed in the overall context of quality improvement/management.

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
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Speaker: Steven Wachs,

Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. He 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. Mr. Wachs 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. Mr. Wachs regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide. He has an M.A. in Applied Statistics from the University of Michigan, an M.B.A, Katz Graduate School of Business from the University of Pittsburgh, 1992, and a B.S., Mechanical Engineering from the University of Michigan.