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Robust Optimization and Tolerance Design |
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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 establish product and process tolerances.
This course is recommended for all Product/Process Engineers, Scientists and their
Managers. Topics include selection and use of transfer functions, statistical methods for
distribution analysis, tolerance design and product/process capability assessment. |
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Course Objectives:
Upon completion of the course the participants will be able to:
- Apply tolerance design to product and process development.
- Generate transfer functions from characterization data.
- Use transfer functions to set tolerances to achieve end-product performance.
- Use statistical methods for setting tolerances based on RSS methodologies.
- Use distribution fitting for setting tolerances when no transfer function is available.
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Software: JMP .
Prerequisites: ESDA and or DOE are recommended prerequisites |
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Detailed Course Outline:
Distribution and tolerance design foundations
Analyzing normal distributions
Analyzing nonnormal parametric distributions
Analyzing nonparametric distributions
Capability, stability and margin analysis
Setting statistically based tolerances
DOE using custom designs for robust parameter design
Generating custom designs
Evaluating custom designs
Analysis of custom designs
Saving and manipulating transfer functions
Profiler and simulation tools for design analysis
Robust optimization methods
Restriction of X
Design to the flats
Parameter combinations
Interactions for robust solutions
Design experiments to minimize the standard deviation
Tolerance design and margin analysis
Tolerance stack up analysis
Worst case versus RSS methods
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