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Creating and Using Control Charts in Six Sigma


Overview/Description
Target Audience
Expected Duration
Lesson Objectives
Course Number



Overview/Description
Having analyzed and improved your processes to the desired level in a Six Sigma DMAIC project, you need to monitor and control them over an extended period of time. SPC tools such as control charts are used to determine if the process is stable. This course teaches methods for identifying, selecting, creating, and interpreting control charts for variables and attributes data. The course also explains how you can recognize when a process has become unstable and is out of control. This course is aligned to the ASQ Body of Knowledge and is designed to assist Green Belt candidates toward achieving their certification and becoming productive members of their Six Sigma project teams.

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)
2.2

Lesson Objectives

Creating and Using Control Charts in Six Sigma

  • recognize basic concepts related to control charts
  • determine the type of control chart to use in a given situation
  • determine the appropriate type of control chart to use
  • match decision rules with descriptions of how their data patterns appear on a control chart
  • identify appropriate corrective actions for the trend exhibited in a given control chart
  • use decision rules to identify processes that are out of control and apply appropriate corrective action
  • match steps in the control charting process with corresponding activities
  • recognize the steps for creating and using a control chart
  • distinguish between when to use an Xbar-R, Xbar-s, or median control chart
  • determine any special cause variation in data by creating and analyzing an Xbar-R chart
  • recognize which formulas to use to help determine special cause variation in an Xbar-s control chart
  • determine any special cause variation in data by creating and interpreting an ImR chart
  • create and use variables data control charts
  • 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
  • create and use attributes data control charts
  • Course Number:
    oper_29_a02_bs_enus