Home
Experience
Complex Decisions and Systems Design
Systems Engineering Tailored for Science and Technology
Process Optimization and ImproveIt®
Technical Papers
Course
About SynGenics
Contact Us

 

A New Course

For Scientists and Engineers

Basic Design of Experiments (DOE)

September 18–19

Room 06 Bldg 50

Area B Wright-Patterson Air Force Base

In cooperation with the Air Force Research Laboratory, SynGenics is pleased to offer this basic course in Statistical Design of Experiments (DOE)

What Is DOE?

Statistical Design of Experiments is a powerful body of statistically based techniques that allow a scientist or engineer to efficiently characterize a design space and to establish the link between cause and effect for processes that have multiple input factors and associated interactions.

Through judicious selection of sampling points within the design domain and statistical analysis of results, a person can simultaneously measure and identify those factors that impact a process and then can optimize their effects.

Any experimental scenario with identifiable causative factors and one or more measurable responses (R) can be a candidate for DOE and associated model development. The major difference between test programs that use DOE and more traditional test programs is the simultaneous, patterned variation of several contributing factors as opposed to one-factor-at-a-time processing.

Why Use DOE?

DOE helps you

• Systematically analyze the nature and cause of variation using controlled testing
• Maximize the research benefits of testing by producing high-quality data
• Minimize the resources needed to perform a test program. (DOE-based test programs typically cut cost and time expenses by 50%.)

Course Objectives

Students will be able to

• Plan, execute, and analyze a two-level statistically designed experiment
• Understand and assess more complex two-level statistically designed experiments such as those presented by Air Force contractors
• Be cognizant of advanced DOE methodologies that go beyond the basic two-level designs

Course Topics and Description

The SynGenics two-day Basic DOE course presents all the critical elements of two-level factorial designs. Course topics include

1. Quick walk through a simple designed experiment
2. Important pre-test planning
3. The Pre-Test Planning Process
4. Identifying factors, levels, interactions, and responses
5. Hidden dangers (discussed throughout)
6. How to use Orthogonal Arrays and Triangular Tables
7. DOE data-analysis methods
8. Model building and use
9. Incorporating Analysis of Variance (ANOVA) into DOE
10. Adding Significance and Confidence with DOE
11. Survey of advanced methods

In-class group exercises walk each participant through the DOE process in progressive levels of complexity, as new material is covered. By course end, the participant will be well equipped to design and conduct a sophisticated two-level factorial experiment and evaluate the resulting data using a variety of statistical analysis techniques including ANOVA.

Course Cost

Learn to set up designed experiments and perform DOE analysis in two days. Cost is $700 per student.

Supplied Materials

Each participant will receive

• a notebook of the course,
• a CD containing several basic DOE Excel spreadsheets, and
• an electronic (.pdf) copy of the National Institute of Standards and Technology (NIST) Engineering Statistics Handbook, (also available as a download on http://www.itl.nist.gov/div898/handbook/).

About the Instructor

John C. Sparks has nearly 34 years of experience as a practicing scientist, engineer, and manager.
He recently retired from the Air Force Research Laboratory (AFRL) where he was a key proponent of DOE.
Mr. Sparks designed and presented several AFRL-wide workshops including DOE, SPC, Metrics, Myers-Briggs Type Indicator, and a variety of safety/security briefings.
He brings over 15 years of AFRL training experience into the DOE classroom. Mr. Sparks joined SynGenics Corporation in September, 2007.