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Web-Based
• Network/LAN • CD-ROM
About This Course
Course Objectives
Intended Audience
Time to Complete
Course Outline
Why Does My Company Need
This Program?
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.
Now you can learn how to conduct DOE screening
experiments with this comprehensive online
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.
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Unit 1: Background for
DOE
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Why design of
experiments (DOE) are more efficient and effective than one-at-a-time
(OAT) experimentation.
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What the major
terms used in designed experiments mean.
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Types of
designed experiments and when they are best used.
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How to use basic
tests of significance.
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How to plan a
designed experiment.
Unit 2: Plackett-Burman
Techniques
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How
Plackett-Burman designs were derived.
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How to determine
which Plackett-Burman matrix to use for your application.
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How to estimate
the experimental error in Plackett-Burman experiments.
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How to analyze
experimental results and calculate the statistical significance of factor
effects.
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How to develop a
prediction equation that can be used to optimize the response.
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How to salvage
experiments if data are lost.
Unit 3: Taguchi
Techniques
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Why Taguchi
techniques focus on the robustness of the product.
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How the Quality
(Taguchi) Loss Function is used.
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How to calculate
and use Signal to Noise ratios.
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How Taguchi
designs were derived.
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How to determine
which Taguchi design to use for your application.
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How to use
Taguchi interaction tables.
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How to test the
statistical significance of factor effects.
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How to develop a
prediction equation that can be used to optimize the response.
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How to use mean,
S/N, and variation effects to determine where to set factors.
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How to salvage
experiments if data are lost.
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Engineers, supervisors, technical support personnel.
Five to seven hours.
This course includes three units: Background for
DOE, Plackett-Burman Techniques, and Taguchi Techniques.
Click here for the course outline
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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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