DOE Screening Experiments (Taguchi Screening Experiments

Web-Based  •  Network/LAN  •  CD-ROM

What are Screening Experiments?
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.

About This Course
Now you can learn how to conduct DOE screening experiments with this comprehensive computer-based and web-based training program in the comfort of your own office. By learning the powerful Design of Experiments techniques developed by Placket-Burman and Taguchi you will be able to set-up and conduct your own in-house DOE screening experiments without outside consultants or seminars.
Because this training is self-paced, you can develop your own experimental design as you go through the training. DOE worksheets and step-by-step DOE instructions will guide you through the process. If your company is implementing a six sigma (6S) or lean manufacturing initiative, you know how important it is to optimize your manufacturing processes with DOE. This Design of Experiments training course will give you the tools you need to get the most from the powerful statistical quality improvement technique.

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.

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.

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.