Practical Design of Experiments Training
Practical Design of Experiments Training Course Description
This two-day Practical Design of Experiments Training will enable the participant to plan the most efficient experiment or test which will result in a statistically defensible conclusion of the test objectives. It will show how properly designed tests are easily analyzed and prepared for presentation in a report or paper. Examples and exercises related to various NASA satellite programs will be included.
Many companies are reporting significant savings and increased productivity from their engineering, process control and R&D professionals. These companies apply statistical methods and statistically-designed experiments to their critical manufacturing processes, product designs, and laboratory experiments. Multifactor experimentation will be shown as increasing efficiencies, improving product quality, and decreasing costs. This first course in experimental design will start you into statistical planning before you actually start taking data and will guide you to perform hands-on analysis of your results immediately after completing the last experimental run. You will learn how to design practical full factorial and fractional factorial experiments. You will learn how to systematically manipulate many variables simultaneously to discover the few major factors affecting performance and to develop a mathematical model of the actual instruments. You will perform statistical analysis using the modern statistical software called JMP from SAS Institute. At the end of this course, participants will be able to design experiments and analyze them on their own desktop computers.
How to design full and fractional factorial experiments.
Gather data from hands-on experiments while simultaneously manipulating many variables.
Analyze statistical significant testing from hands-on exercises.
Acquire a working knowledge of the statistical software JMP.
With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.
Survey of Statistical Concepts.
Introduction to Design of Experiments.
Designing Full and Fractional Factorials.
Hands-on Exercise: Statapult Distance Experiment using full factorial.
Data preparation and analysis of Experimental Data.
Verification of Model: Collect data, analyze mean and standard deviation.
Hands-on Experiment: One-Half Fractional Factorial, verify prediction.
Hands-on Experiment: One-Fourth Fractional Factorial, verify prediction.
Screening Experiments (Trebuchet).
Advanced designs, Methods of Steepest Ascent, Central Composite Design.
Some recent uses of DOE.
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