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Want this course at another location or on a different date? Let us know your course needs.On-site Pricing
Course fee and EPTO/APTO units differ for on-site training.Robust Optimization and Tolerance Design
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Duration: 2.0 days CEUs: 1.2 | ||
| Available for on-site training or can be scheduled at any SAS training facility if demand warrants. |
Upon completion of the course, you will be able to apply tolerance design to product and process development, generate transfer functions from characterization data, use tranfer functions to set tolerances on the inputs to achieve end-product performance, use statistical methods for setting tolerances based on RSS and worst-case methodologies, and use distribution fitting for setting tolerances when no transfer function is available.
Who should attend
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 required 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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Prerequisites
Before attending this course, you should complete an ANOVA and regression course and a design of experiments course. The recommended prerequisites are JMP Software: ANOVA and Regression, JMP Software: Design and Analysis of Experiments, and &sxesda.
Course Contents
Distribution and Tolerance Design Foundations
Experimental Preparation
DOE Using Custom Designs for Robust Parameter
- analyzing distributions
- analyzing nonnormal parametric distributions
- analyzing nonparametric distributions
- setting statistically based tolerances
- assessing capability, stability, and margin analysis
Experimental Preparation
DOE Using Custom Designs for Robust Parameter
- generating custom designs
- evaluating custom designs
- analysis of custom designs
- saving and manipulating tranfer functions
- profile and simulation tools for design analysis
- restriction of X
- design to the flats
- parameter combinations
- interactions for robust solutions
- use DOE and modeling to minimize variation and achieve the target
- tolerance stuck up analysis
- worst case versus RSS methods
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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Not currently scheduled. Available for on-site training or can be scheduled at any SAS training facility if demand warrants.
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