Learn how to use response surface methods in Six Sigma projects. Response surface methods (RSM), are a class of experimental designs that allow you to model curvature and second-order or quadratic Y=f(x) relationships.
Response Surface Methods or RSM…are another class of designs…different from factorial designs.…The big advantage that Response Surface Methods have…over factorial designs is that RSM is able…to model curvature and second-order,…or quadratic relationships.…If there is significant curvature,…the factorial designs are not adequate.…You can use RSM designs when there is curvature.…The theoretical basis for RSM…is that an output Y is represented…by a curved response surface.…
A Second-Order or Quadratic Model is required…as shown here where x1 and x2 are the factors of interest.…The difference between a Response Surfaced equation…and a equation for a factorial design…is the addition of the squared or quadratic terms.…These terms are added to model curvature in that response.…There are many designs in RSM.…Central Composite Design, CCD, is the most popular.…
In CCD, all factors have only two levels,…and the centerpoints and axial points are defined.…The main effects and interactions are determined…by cube points, which are comparable…
LinkedIn Learning (Lynda.com) is a PMI Registered Education Provider. This course qualifies for professional development units (PDUs). To view the activity and PDU details for this course, click here.
The PMI Registered Education Provider logo is a registered mark of the Project Management Institute, Inc. Dr. Richard Chua builds upon his Six Sigma: Green Belt, Six Sigma Foundations, and Learning Minitab courses—which are prerequisites to this course—and covers an array of topics, including measurement system analysis, hypothesis testing, response surface methods, displaying improved process capabilities, and more.
- Process flow metrics
- Measurement system analysis
- Calculating process capability
- Hypothesis testing
- Confidence intervals
- Testing for normality
- Designing, conducting, and analyzing full-factorial experiments
- Using fractional factorial experiments for screening
- Displaying improved process capability
Skill Level Intermediate
Operational Excellence Foundationswith Richard Chua1h 32m Appropriate for all
1. Define Phase
Overview of the Define phase3m 51s
2. Measure Phase
3. Analyze Phase
4. Improve Phase
5. Control Phase
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