Introduction to Design of Experiments

# Introduction to Design of Experimentstaught by Jim Rutledge

Aim of Course:

This online course, "Introduction to Design of Experiments" 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.

Course Program:

## WEEK 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

## WEEK 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

## WEEK 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

## WEEK 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

HOMEWORK:

Homework in this course consists of short answer questions to test concepts, guided data analysis problems using software, and guided data modeling problems using software.

In addition to assigned readings, this course also has discussion tasks, and an end of course data modeling project.

# Introduction to Design of Experiments

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.
Level:
Introductory/Intermediate
Prerequisite:
You should be familiar with introductory statistics.  Try these self tests to check your knowledge.
Organization of the Course:

This course takes place online at the Institute 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.

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.

Time Requirement:

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

1. No credit - You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. Certificate - You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. CEUs and/or proof of completion - 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,  CEU's and a record of course completion will be issued by The Institute, upon request.
4. Digital Badge - Courses evaluated by the American Council on Education have a digital badge available for successful completion of the course.
5. Other options - Statistics.com Specializations, INFORMS CAP recognition, and academic (college) credit are available for some Statistics.com courses

INFORMS CAP:
This course is also recognized by the Institute for Operations Research and the Management Sciences (INFORMS) as helpful preparation for the Certified Analytics Professional (CAP®) exam, and can help CAP® analysts accrue Professional Development Units to maintain their certification .
Course Text:

Understanding Industrial Designed Experiments by Schmidt et al should be ordered online, or by calling Six Sigma Products Group at 1-866-352-2845.

Software:

The course makes use of Quantum XL, an add-in to Microsoft Excel.  A 30-day trial version of the add-in can be downloaded from www.sigmazone.com.  The add-in should function with Excel 2002 and above, note however, the course notes are written with examples from Excel 2010.

NOTE:  Do not start your trial prematurely - you'll need it throughout the 4-week course.

Instructor(s):

Dates:

March 13, 2020 to April 10, 2020

# Introduction to Design of Experiments

Instructor(s):

Dates:
March 13, 2020 to April 10, 2020

Course Fee: \$589

We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

First time student or academic? Click here for an introductory offer on select courses. Academic affiliation?  You may be eligible for a discount at checkout.

Register Now

Add \$50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.

The Institute for Statistics Education is certified to operate by the State Council of Higher Education in Virginia (SCHEV).