Statistical Process Control (SPC) in Six Sigma

Ensuring a process is in control is critical to any Six Sigma project, but how do you determine with certainty if a process is on track or requires improvement? Where do you find the 'proof' or solid facts that a process is out of control and requires intervention? By applying statistical process control (SPC) methods, a Six Sigma team can identify and control variation in a process. This course covers the basic concepts in statistical process control methodology, including the selection of variables and rational subgrouping.

One of the most important tools used in SPC methodology is the control chart, and this course explores how to select the right control chart for the variables being measured, and how to interpret specific patterns they reveal. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.

• Recognize the objectives of statistical process control (SPC).
• Recognize key concepts related to the use of SPC.
• Recognize examples of variables that are good candidates for statistical process control.
• Select the best option for rational subgrouping, in a given scenario.
• Recognize the description of the rational subgrouping principle.
• Identify considerations for determining appropriate subgroup size.
• Use the appropriate control chart to determine upper and lower limits for a given process.
• Recognize suitable applications for moving average charts.
• Calculate moving averages.
• Identify key concepts related to the use of short-run SPC charts.
• Determine appropriate corrective actions for the trend exhibited in a given control chart.