Seminario - OPX 301 EN
DOE (Design of Experiment)
F
Addressed to:
Research and Development, Design, Production and Quality Managers and Professionals, Continuous Improvement Managers and Staff, Engineering Manager.
Key Objectives
- Analyze data using the most appropriate statistical tools
- Design and implement a plan of experiments using DOE methodology in order to derive maximum information while minimizing the number of trials
Core Content
Basic statistical concepts
- Random variables, samples, populations
- Summary parameters of a distribution
- The normal distribution, parameters and estimates related to it
- Other major distributions
Simplified tools for analyzing experiments, comparisons between hypothesis and samples
- Distribution of the sample mean
- Confidence intervals of a mean
- Comparison of two samples, hypothesis testing, alpha and beta risks
- Choice of samples and decision values when comparing averages
DOE - the experimental plan
- Planning of experiments, identification of factors and their levels
- Full factorial plans
- Fractional factorial plans
DOE - analysis of experimental data
- Analysis of variance (with and without replications) ANOVA
- Analysis of averages ANOM
- Interactions between factors in the experiment
- Evaluation of the effects of factors
- Evaluation of interactions between factors
You will experience
- Definition of the experimental plan with the Minitab statistical software
- DOE analysis with Minitab statistical software
It is therefore advisable to install the Minitab software on the PC
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