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Learn how to apply Taguchi and Placket-Burman Designs for a fraction of the cost of a seminar!

Web-Based  •  LAN-Based  •  CD-ROM

 

Course Description

Course Objectives

Intended Audience

Time to Complete

Course Outline

Why Does My Company Need This Program?

Course Description

DOE:  Screening Experiments are the most powerful of Design of Experiments techniques to uncover the power factors in a manufacturing process.  With a small number of experimental runs and very little data your can make significant improvements to processes.  The most common screening experiment techniques - Taguchi and Plackett-Burman techniques are covered in detail in this course.

Course Objectives

Unit 1:  Background for DOE

  • Why design of experiments (DOE) are more efficient and effective than one-at-a-time (OAT) experimentation.

  • What the major terms used in designed experiments mean.

  • Types of designed experiments and when they are best used.

  • How to use basic tests of significance.

  • How to plan a designed experiment.

Unit 2:  Plackett-Burman Techniques

  • How Plackett-Burman designs were derived.

  • How to determine which Plackett-Burman matrix to use for your application.

  • How to estimate the experimental error in Plackett-Burman experiments.

  • How to analyze experimental results and calculate the statistical significance of factor effects.

  • How to develop a prediction equation that can be used to optimize the response.

  • How to salvage experiments if data are lost.

Unit 3:  Taguchi Techniques

  • Why Taguchi techniques focus on the robustness of the product.

  • How the Quality (Taguchi) Loss Function is used.

  • How to calculate and use Signal to Noise ratios.

  • How Taguchi designs were derived.

  • How to determine which Taguchi design to use for your application.

  • How to use Taguchi interaction tables.

  • How to test the statistical significance of factor effects.

  • How to develop a prediction equation that can be used to optimize the response.

  • How to use mean, S/N, and variation effects to determine where to set factors.

  • How to salvage experiments if data are lost.

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Intended Audience

Engineers, supervisors, technical support personnel.

Time To Complete

Five to seven hours.

Course Outline

This course includes three units:  Background for DOE, Plackett-Burman Techniques, and Taguchi Techniques.

Click here for the course outline

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Why Does My Company Need This Program?

If your company needs to optimize processes, you can't afford to use one-at-a-time experiments because they are costly and miss important interactions that might have a significant effect on the process.  But, learning screening experiment techniques can be costly and involve time away from the job plus travel expenses.  With Screening Experiments, you can learn how to use Taguchi and Plackett-Burman techniques right on your computer.  It's affordable, flexible, and convenient.

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