Six Sigma Statistical Process Control Basics


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



Overview/Description
This course introduces basic concepts in the Statistical Process Control methodology, including the selection of variables and rational subgrouping. 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)
1.3

Lesson Objectives

Six Sigma Statistical Process Control Basics

  • recognize the characteristics of an in-control process
  • identify objectives of Statistical Process Control
  • recognize characteristics of Statistical Process Control
  • distinguish key elements of a control chart by their descriptions
  • determine which types of control charts to use in various situations
  • determine whether a variation is due to a common cause or a special cause
  • identify criteria for choosing variables to study
  • recognize examples of variables that are good candidates for Statistical Process Control
  • identify properties of rational subgroups
  • identify considerations for determining appropriate subgroup size
  • identify characteristics of a control plan
  • recognize examples of information typically included in a control plan
  • identify actions involved in transferring responsibility for process control from the Six Sigma team to the process owner
  • demonstrate your understanding of how to use Statistical Process Control (SPC) to sustain improved processes
  • Course Number:
    apr_06_a01_bs_enus

    Expertise Level
    Intermediate