# Six Sigma Black Belt: Statistical Process Control (SPC) and Control Charts

Everyone
• 7 videos | 1h 21m 20s
Rating 4.5 of 100 users (100)
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.

## WHAT YOU WILL LEARN

• Discover the key concepts covered in this course
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
Identify considerations for determining appropriate subgroup size
recognize the description of the rational subgrouping principle
• select the best option for rational subgrouping, in a given scenario
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

## IN THIS COURSE

• After completing this video, you will be able to discover the key concepts that will be covered in this course.
• After completing this video, you will be able to recognize the objectives of statistical process control (SPC) and recognize key concepts related to the use of SPC
• 3.  Variable Selection for SPC
After completing this video, you will be able to recognize examples of variables that are good candidates for statistical process control
• 4.  Rational Subgrouping
After completing this video, you will be able to recognize the description of the rational subgrouping principle, select the best option for rational subgrouping, in a given scenario, and identify considerations for determining appropriate subgroup size
• 5.  Control Chart Selection and Limit Determination
After completing this video, you will be able to use the appropriate control chart to determine upper and lower limits for a given process
• 6.  Moving Average and Short-run Control Charts
After completing this video, you will be able to calculate moving averages, recognize suitable applications for moving average charts, and identify key concepts related to the use of short-run SPC charts
• 7.  Control Chart Analysis
After completing this video, you will be able to determine appropriate corrective actions for the trend exhibited in a given control chart

## EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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