JMP Software: Classic Design of Experiments
This course teaches you how to design and analyze experiments. Designed experiments can help optimize the process response or identify the vital few factors that drive your product or process. The course emphasizes the principles of experimental design and includes screening designs and response surface designs.
Learn how to
- explain the fundamental principles of designed experiments
- generate and analyze full factorial, fractional factorial, split-plot, and screening designs including designs with blocking factors
- create and analyze classic response surface designs
- use the custom design tool.
Who should attend
Anyone who would like to understand and improve process design, such as engineers, scientists, and Six Sigma practitioners
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Prerequisites
Before attending this course, it is recommended you
Course Contents
Introduction to Design and Analysis of Experiments
- review of basic statistical concepts
- introduction to experimental design
- completely randomized designs
Multiple Factor Designs and Blocking
- randomized complete block design
- randomized incomplete block design
- split plot designs
- full factorial designs
- the 2k factorial design
Screening Designs
- full factorial screening designs
- fractional factorial designs
- blocking with screening designs
Response Surface Methodology
- concepts and terms
- classic response surface designs for second-order models
- steepest ascent method
Custom Designs
- custom design generation
- custom response surface designs
Software
This course addresses JMP.
Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.
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Course fee and EPTO units will differ for on-site training.
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