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Design of Experiments |
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2 Days |
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Course Description and Audience:
This course is required for all employees who actively work on any aspect of product
and process development where the goal is to characterize and optimize product and
process performance. This course is required for all Product/Process Engineers,
Scientists and their Managers. Topics include design and analysis of experiments for
product and process characterization and optimization.
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Course Objectives:
Upon completion of the course the participants will be able to:
- Apply the principles of robust design.
- Design experiments appropriate for the information of interest.
- Use and apply the structures of orthogonal arrays for industrial problem solving.
- Assure the experimental design is efficient .
- Use regression techniques in order to analyze the results and make
process/product improvements.
- Use software to design and analyze experiments.
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Software: JMP .
Prerequisites: ESDA is required |
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Detailed Course Outline:
Introduction to DOE and robust design principles
DOE simulation
Eight Principles of robust design
Process of experimentation
Experimental preparation
Selecting factors
Selecting responses
Selecting levels
Managing experimental error
Sampling plan
DOE summary table
Full factorial designs
Screening designs
Taguchi designs (optional)
Custom designs
D-optimal, I-optimal and RSM designs
Supersaturated designs
Blocking
Fixed covariates
Analysis with in situ covariates
Augmented designs
Optimization designs
CCD and Box Behnken designs
Path of steepest assent method
Mixture designs (optional)
Evolutionary operations (EVOP) (optional)
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