Introduction to Design of Experiments

Brief Description:

This course will stress the application of DOE rather than statistical theory. With a 12-step checklist, it covers full and fractional factorial designs, Plackett-Burman, Box-Behnken, Box-Wilson and Taguchi designs.

Instructor(s):
Level: Introductory/Intermediate

Who Should Take This Course:

All six-sigma practitioners, scientists, engineers, and technicians who are interested in performing experiments that maximize process knowledge with a minimum amount of resources. Managers who are responsible for delivering products "on time" and "on budget" will also benefit from this course by learning what their employees should be doing. This course will stress the application of DOE rather than statistical theory. While design of experiments has been very successfully applied in research and development, that is not the only application. The techniques presented also apply to manufacturing, quality control, and even marketing.

Dates:
February 17, 2012 to March 16, 2012February 15, 2013 to March 15, 2013
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Registration:
Please read the syllabus tab, noting the prerequisites, text and software requirements.

Register Online -$499
Register Online -$399 (you must be affiliated with a college, university or high school)

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Introduction to Design of Experiments

Aim of Course:

This course will teach you how to use experiments to gain maximum knowledge at minimum cost. For processes of any kind that have measurable inputs and outputs, Design of Experiments (DOE) methods guide you in the optimum selection of inputs for experiments, and in the analysis of results. Full factorial as well as fractional factorial designs are covered - see the course outline below for additional details.

Note: For topics such as response surface designs, conditional effects, restricted randomization and analysis-of-means, please see our Advanced DOE course.

This course is a core requirement or elective in the following Program(s) in Advanced Statistical Studies (PASS):

• Engineering Statistics

Prerequisite(s):

The equivalent of Introduction to Statistics 1: Inference for a Single Variable, and Introduction to Statistics 2: Working with Bivariate Data (and, if necessary before these courses, Introduction to Statistics for Beginners or Survey of Statistics for Beginners).

Course Program:

SESSION 1: Foundations of DOE

• What is experimental design
• Why use DOE
• Measure of quality (Cp Cpk, dpm)
• DOE key concepts
  • Interactions
  • Coding
  • Confounding/aliasing
  • Robustness
  • Randomization

SESSION 2: Simple Designs and Their Analysis

• DOE 12-step checklist example
• Calculating effects
• Interaction plots
• Marginal means plot of effects
• Pareto chart of effects
• Prediction equations
• Using Excel based DOE KISS software

SESSION 3: Design Types

• Full factorial designs
• Fractional factorial designs
  • Design resolution
  • Aliasing pattern
  • Fold-over
• Plackett-Burman designs
• Box-Behnken designs
• Box-Wilson (central composite) designs
• Taguchi designs

SESSION 4: Practice Conducting and Analyzing Experimental Data

• Multiple regression
• Normal probability plot
• Importance of analyzing interactions
• Taguchi's signal to noise ratios
• Variance reduction analysis
• Practice planning, executing, and analyzing an experiment

Organization of the Course:

This course takes place over the internet, at statistics.com for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Credit:
Students come to The Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Program in Advanced Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:

Understanding Industrial Designed Experiments by Schmidt et al should be ordered here or by calling Air Academy Press at 1-800-748-1277. The text comes with software that will be used in the course. We recommend ordering through the publisher, to be sure you get the correct edition and software. PLEASE ORDER YOUR COPY IN TIME FOR THE COURSE STARTING DATE.

Software:

The course makes use of an Add-In to Microsoft Excel. The Excel Add-In comes with the course text. The Add-In should function with Excel 2000 and above, note however, the course notes are written with examples from Excel 2003.

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Introduction to Design of Experiments

Instructor(s):
Dates:
February 17, 2012 to March 16, 2012February 15, 2013 to March 15, 2013
Course Fee: $499
Academic Discounted Rate: $399

Before registering, please read the syllabus tab, noting the prerequisites, text and software requirements. When you click the register button, you will be taken to our secure transaction page.

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