Process Analysis and Documentation


Overview/Description
Target Audience
Expected Duration
Lesson Objectives
Course Number


Overview/Description
The Six Sigma® DMAIC system is a roadmap that points the way to process and performance improvement. The second phase in this methodology is Measure. You cannot hope to improve processes and performance without first knowing where you are, assessing where you want to be, and then planning how to get there, while measuring progress toward the goal all along the way. In the words of an old adage, what gets measured, gets done. In this course, you will learn about the steps in the Measure phase. Then you will learn key principles of measurement; learn how to identify key process input variables and key process output variables; document their relationships through a cause and effect diagram; assign constant, noise, and experimental variables to causes in a cause and effect diagram; and create an action plan to change noise variables to constants. Six Sigma is a registered Trademark of Motorola Corporation, and all rights, title, and interest in Six Sigma belong 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 (hours)
2.5

Lesson Objectives

Measurement Tools

  • identify the benefits of understanding the Measure phase.
  • identify the principle of measurement illustrated by a given scenario.
  • match steps in a process analysis with examples.
  • identify symbols used in flowcharting.
  • sequence steps in creating a flowchart.
  • determine whether an activity flowchart or a deployment flowchart is appropriate for a series of given scenarios.
  • identify two important characteristics of documentation.
  • match the components of the documentation hierarchy with examples.

    • Process Inputs and Outputs

  • identify the benefits of eliminating variation in inputs and outputs.
  • identify the components of the effect on a cause and effect diagram.
  • categorize examples of ideas generated in a brainstorming session.
  • identify examples of steps that should be used to identify possible causes for a cause and effect diagram.
  • match constant, noise, and experimental variables with examples.
  • calculate prioritization scores for individual causes, given a cause and effect matrix, correlation weights, and rankings.
  • match techniques for changing noise to constants with examples.
  • match components of the GRPI model with descriptions.
  • determine which GRPI component is involved based on a given situation.

    • Course Number:
    OPER0191