Statistical Process Control and Control Plans in Six Sigma

Candidates seeking Six Sigma Green Belt certification; quality professionals, engineers, production managers, and frontline supervisors; process owners and champions charged with the responsibility of improving quality and processes at the organizational or departmental level


Expected Duration
110 minutes

Ensuring a process is in control and it’s behaving in the manner it was intended to is critical to any Six Sigma improvement initiative. In the Control phase of a Six Sigma DMAIC project, teams need to control the improved processes in order to sustain continuous gains. Process control involves applying tools to monitor and maintain each improved process, and to prevent it from reverting to its previous state. By applying statistical process control, you can identify out of control processes, reasons for noncompliance, and take actions to address the situation.
This course introduces basic concepts in the statistical process control methodology, including the selection of variables and rational subgrouping. It looks at the key elements of a control plan and explores the steps for developing an effective plan. This course is aligned to the ASQ Body of Knowledge and is designed to assist Green Belt candidates toward their certification and to become productive members of their Six Sigma project teams.


Statistical Process Control

  • recognize the characteristics of an in-control process
  • identify objectives of statistical process control
  • recognize characteristics of statistical process control
  • demonstrate your understanding of concepts related to statistical process control

Control Charts and Variations

  • match the key elements of a control chart with corresponding descriptions
  • match types of control charts to their corresponding descriptions
  • classify examples of causes of variations as either common or special causes
  • distinguish between types of control charts and variation causes

Selecting Variables for SPC

  • identify criteria for choosing variables to study
  • recognize examples of variables that are good candidates for statistical process control
  • select variables for a statistical process control study

Rational Subgrouping

  • identify properties of rational subgroups
  • select the best option for rational subgrouping, in a given scenario
  • identify considerations for determining appropriate subgroup size
  • recognize principles of rational subgrouping

Developing and Implementing a Control Plan

  • identify characteristics of a control plan
  • recognize examples of information typically included in a control plan
  • identify actions involved in transferring responsibility for process control from the Six Sigma team to the process owner
  • recognize how to create and transfer responsibility for a control plan





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