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DESIGN OF EXPERIMENTS (DOE)

(This program is also available on DVD (Self-Directed Learning) and course materials including PowerPoint and student workbooks can be made available for your internal instructors' needs).

Today's highly competitive environment leaves no time for trial and error. DOE is a proven way to identify and understand how process factors affect output. With this information, you can develop the optimum balance between factors and achieve major improvements in quality, cost, and productivity.

You will learn the basics: perform two-way and paired comparison tests, use simple graphical techniques to analyze data, and build and check models. The course will also take the mystery out of DOE: You will understand the DOE essentials; learn how to plan, set up, conduct, and analyze a two-level factorial experiment; work with fractional factorial designs; identify the variables that have the greatest impact on product-level quality; and build on test results to continuously improve all product stages.

TARGET AUDIENCE   COURSE LENGTH AND COST
Anyone responsible for improving processes and products, including managers, engineers, supervisors, quality assurance personnel, technicians, and machine operators.

Prerequisite: All attendees are assumed to have a working knowledge of basic SPC and should also bring a hand calculator for problem solving.

Length: 2 days
Time: 8:00 a.m. - 4:00 p.m.

Please see our public training schedule for prices, dates and locations.

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WHAT’S COVERED

PROGRAM

1. EXPERIMENTAL DESIGN CONCEPTS
  •   Continuous Improvement
  •   Anatomy of DOE
  •   Principles of Conduct

2. TWO-LEVEL FULL FACTORIAL EXPERIMENTS
  •   Factorial Designs
  •   Conduct
  •   Analysis
  •   Catalog
  •   Using the Worksheets

3. DEFINING THE PROBLEM AND ITS FACTORS

4. JUDGING THE IMPORTANCE OF EFFECTS
  •   Location
  •   Variance
  •   Proportion

5. DESIGNING THE EXPERIMENT AND CHOOSING THE ORTHOGONAL ARRAY

6. TWO-LEVEL FRACTIONAL FACTORIAL DESIGNS

7. SCREENING DESIGNS
  •   Packett-Burman
  •   Taguchi
  •   Improving Resolution

8. ANALYSIS AND OPTIMIZATION

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