Statistical Process Control and Control Plans in Six Sigma
Overview/Description Target Audience Prerequisites Expected Duration Lesson Objectives Course Number Overview/Description
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.
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