Using Basic Control Charts in Six Sigma

Overview/Description
In a Six Sigma DMAIC project, once you've measured your current processes, analyzed the gaps and causes of problems, and improved processes to the desired level, you need to monitor and control them over an extended period of time. The process may show variation, and control charts are used to determine if the variation is natural to the process or if there is another reason for the discrepancy. Control charts can also be used in other stages of Six Sigma – to examine how a process is performing over time and also to identify and analyze any special cause variations. Depending on the type of data, different types of control charts can be used. They are broadly organized into two categories: charts for variable data, and charts for attribute data. As the journey continues, findings from the control charts may be used as the beginning point for a new improvement initiative.This course deals primarily with basic control chart concepts and how they are created and analyzed in Six Sigma. It teaches methods of creating and analyzing key variable and attribute control charts. The course also identifies the control charts to use in specific situations and the various steps in the standard control charting process. This course is aligned with the ASQ Certified Six Sigma Green Belt certification exam and is designed to assist learners as part of their exam preparation.

Target Audience
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 (hours)
2.5

Lesson Objectives

Using Basic Control Charts in Six Sigma

recognize which variable or attribute control chart to use in a specific situation

identify the major activities that are performed at each step in the standard control charting process

identify the four commonly applied tests that determine evidence of special cause variation

determine any special cause variation in data by creating and interpreting an Xbar and R chart

recognize which formulas to use to help determine special cause variation in an Xbar and s control chart

determine any special cause variation in data by creating and interpreting an ImR chart

calculate the center line, UCL, and LCL for a p control chart to determine if special cause variation exists

calculate the center line, UCL, and LCL for an np control chart to determine if special cause variation exists

calculate the center line, UCL, and LCL for a u control chart to determine if special cause variation exists

calculate the center line, UCL, and LCL for a c control chart to determine if special cause variation exists