Calculating Process Capability

Overview/Description
 When process data fails to produce a normal distribution, special indices are required to calculate process capability. This course teaches Black Belt candidates the indices for non-normal process capability, and discusses how to transform non-normal data for use in standard statistical tests. It also examines the difference between continuous and discrete data, and the distributions used for capability analysis of discrete data. Six Sigma is a registered Trademark of Motorola Corporation, and all rights, title and interest in Six Sigma belongs to Motorola.

Target Audience
 Candidates for Black Belt certification; managers/executives overseeing personnel involved in the implementation of Six Sigma in their organization; consultants involved in implementing a Six Sigma proposal; and organizations implementing a Six Sigma project

Expected Duration
1.5 hours

Lesson Objectives:

Process Capability for Non-normal Data

  • identify the benefits of data transformation.
  • determine the elements needed for finding non-normal process capability in a workplace scenario.
  • correctly calculate and interpret process capability indices for non-normal data using the percentile method.
  • match methods of working with non-normal data with examples of their use.

    • Using Process Capability for Discrete Data

  • identify the benefits of using process capability for discrete data.
  • differentiate between examples of continuous and discrete data.
  • determine whether an appropriate conversion of a continuous measure into a discrete measure has been achieved in a given workplace scenario.
  • calculate the correct DPMO and determine the sigma level for discrete data.

    • Course Number: OPER0197