Robust Optimization and Tolerance Design
ROTD is specifically designed to meet the analytical needs of those individuals working within a variety of industries. Robust Optimization and Tolerance Design presents the methods and practices associated with designing and optimizing products and processes and to discuss tolerance design methods to protect product quality and clinical benefits. Presentation of the course material is designed for 16 hours of instruction.
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Attendees
Robust Optimization and Tolerance Design is required for all scientists, engineers and quality professionals who actively work on all aspects of discovery, product and process development where the goal is to characterize, optimize and improve product and process performance.
Prerequisites
Engineering Statistics and Data Analysis and Design of Experiments are recommended prerequisites for this course.
Course Objectives
- Learn and apply the principles of robust product design.
- Design experiments appropriate for the information of interest.
- Use and apply the structures of orthogonal arrays for product and process development and problem solving.
- Ensure the experimental design is efficient.
- Use regression techniques in order to analyze the results and make process/product improvements.
- Optimize the response at its most robust condition.
- Tolerance the factors and responses.
- Use JMP software to design and analyze experiments.
Detailed Course Outline
Section I: Distribution and tolerance design foundations
System, parameter and tolerance design
Tolerance design methods
Tolerance design methods
Section II: DOE using custom designs
Eight robust design principles
Section III: DOE using custom designs
Custom designs
Strategies to minimize experimental size
Adding covariate and uncontrolled factors
Special topics for custom designs (optional)
Blocking designs
Setting constraints in the design
Strategies to minimize experimental size
Adding covariate and uncontrolled factors
Special topics for custom designs (optional)
Blocking designs
Setting constraints in the design
Section IV: Robust optimization methods
Tighten the tolerance of X
Design to the flats
Use interactions to tune out sensitivities
Use parameter combinations
Design to the flats
Use interactions to tune out sensitivities
Use parameter combinations
Section V: Tolerance design and margin analysis
Tolerance design procedure
Tolerance stack up analysis
Tolerance stack up analysis
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