Robust Optimization and Tolerance Design
Course Description
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.
Audience
This Course is required for all scientists, engineers and quality professionals who actively work on any aspect 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.
16 Hours
Contact Information
Email
paulette@pyyoungassociates.com
Phone
1 (650) 967-2700
Address
P.O. Box 2103
Sunnyvale, CA 94087-0103
Course Objectives
Upon completion of the course the participants will be able to:
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 and product improvements
Optimize the response at this most robust condition
Tolerance the factors and responses
Use JMP software to design and analyze experiments
Course Outline:
Distribution and tolerance design foundations
System, parameter and tolerance design
Tolerance design methods
DOE Review and Robust Design Principles
Eight robust design principles
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
Robust Optimization Methods
Tighten the tolerance of X
Design to the flats
Use interactions to tune out sensitivities
Use parameter combinations
Tolerance Design and Margin Analysis
Tolerance Design procedure
Tolerance stack up analysis