Six Sigma Control Charts


Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level


Overview/Description
Business process improvement must be monitored and controlled to ensure the gains aren’t lost. This takes place in the Control phase of a Lean or Lean Six Sigma domain process. Once you analyze and approve your processes to desired levels, you need to monitor and control them over an extended period of time. This helps drive process improvement, process control, and process design. In this course, you'll learn how to choose, construct, and use a control chart, which is the most common tool used for statistical process control, or SPC. This course also explores how to interpret control charts. This course is aligned with ASQ’s 2015 Six Sigma Green Belt Body of Knowledge.

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

Prerequisites
None

Expected Duration (hours)
1.6

Lesson Objectives

Six Sigma Control Charts

  • recognize basic concepts related to control charts
  • determine the type of control chart to use in a given situation
  • differentiate decision rules based on descriptions of how their data patterns appear on a control chart
  • identify appropriate corrective actions for the trend exhibited in a given control chart
  • match steps in the control charting process with corresponding activities
  • distinguish between when to use an Xbar-R, Xbar-s, or median control chart
  • determine any special cause variation in data by 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 interpreting an ImR chart
  • use the data plotted on a p control chart to determine if special cause variation exists
  • use the data plotted on an np control chart to determine if special cause variation exists
  • use the data plotted on a u control chart to determine if special cause variation exists
  • use the data plotted on a c control chart to determine if special cause variation exists
  • demonstrate your understanding of how to create and analyze control charts used as part of statistical process control

    • Course Number:
    apr_06_a02_bs_enus

    Expertise Level
    Intermediate