Advanced Control Charts Training

Course Outline
Course Objectives

Intended Audience

Quality professionals, engineers and supervisors responsible for implementing SPC.

Time To Complete

3 hours (0.3 CEUs)

What Are Control Charts?

Control charts are tools that are used to monitor and control variation in processes.  Control charts enable operators to determine if the variation in a process is due to expected common causes or if something unexpected has happened to changed the expected output.  With this information, an operator can then decide whether or not to adjust the process.

Advanced Control Charts Online Training

Selecting and setting up the right type of SPC control chart for a given process is crucial to getting the most benefit from statistical process control. With Advanced Advanced Control Charts online training, your in-house experts will be able to apply advanced statistical techniques and concepts throughout your operations. Training topics include selecting and setting up SPC Control charts, determining the best control chart format to use for a given process, identifying different patterns of instability and knowing what they tell you about a process.

This Training Enables Learners To…

  • Set up a variable and attribute control chart.
  • Select the proper type of control chart for the process.
  • Understand the differences between a variety of variables control charts and understand which chart is used when.

Recommended Prerequisites

  • A good understanding of statistical measures of variation including standard deviation.
  • Ability to use a control chart.
  • Successful completion of Basic SPC or the equivalent.

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This Course is Derived from Advanced SPC Training

This course is a great way to learn how to set up control charts.  It is taken from our comprehensive Advanced SPC course.  If you have already taken the Advanced SPC course, you have already seen the content covered in Advanced Control Charts.

Advanced Control Charts Course Outline

Lesson 1 | Setting Up Variable Control Charts

  • Calculating control limits and establishing a baseline chart.

Lesson 2 | Setting Up Attribute Control Charts

  • Setting up p, np, c, and u charts.

Lesson 3 | More Patterns of Instability

  • Explanations of Western Electric, AIAG, Nelson, & Boeing rules.

Lesson 4 | Setting Up Individuals & Moving Range Control Charts

  • Calculating control limits and establishing a baseline chart for IX & MR Charts.

Lesson 5 | Special Control Charts & Applications

  • Variations on the standard variable data control charts.

Challenge

  • An assessment of the learner’s progress in this course.

Advanced Control Charts Course Objectives

  • Set up an x-bar and R control chart.
  • Interpret the control chart to determine if a process is stable.
  • Set up an attribute (p, np, c, or u) control chart.
  • Understand how to use the most common tests of instability.
  • Set up an Individuals and Moving Range control chart.
  • Explore options to the conventional x-bar and R control chart.
  • Select the most appropriate alternative format for a variable control chart.

Advanced Control Charts Course Outline

Lesson 1 | Setting Up Variable Control Charts

  • Calculating control limits and establishing a baseline chart.

Lesson 2 | Setting Up Attribute Control Charts

  • Setting up p, np, c, and u charts.

Lesson 3 | More Patterns of Instability

  • Explanations of Western Electric, AIAG, Nelson, & Boeing rules.

Lesson 4 | Setting Up Individuals & Moving Range Control Charts

  • Calculating control limits and establishing a baseline chart for IX & MR Charts.

Lesson 5 | Special Control Charts & Applications

  • Variations on the standard variable data control charts.

Challenge

  • An assessment of the learner's progress in this course.

Advanced Control Charts Course Objectives

  • Set up an x-bar and R control chart.
  • Interpret the control chart to determine if a process is stable.
  • Set up an attribute (p, np, c, or u) control chart.
  • Understand how to use the most common tests of instability.
  • Set up an Individuals and Moving Range control chart.
  • Explore options to the conventional x-bar and R control chart.
  • Select the most appropriate alternative format for a variable control chart.