Using MATLAB(R) and the Statistics ToolboxTM for Design for Six Sigma (DFSS)

Version 1.1.0.1 (73,2 ko) par Dan Doherty
M-files used in the webinar held on November 2, 2005
2.7
(3)
3,3K téléchargements
Mise à jour 1 sept. 2016

Afficher la licence

These are the M-files that accompany the webinar titled "Using MATLAB® and the Statistics Toolbox™ for Design for Six Sigma (DFSS)." The original webinar may be found here
https://www.mathworks.com/videos/search.html

This demo shows how to use MATLAB and the Statistics and Optimization Toolboxes to improve the design of an automobile's engine cooling fan using DFSS methodology. Some of the analysis includes:

- Assessing the performance of the initial design
- Designing experiments to investigate factors that influence performance
- Mathematically modeling the impact of these factors
- Selecting factor settings that optimize performance
- Running Monte Carlo simulations to forecast performance variability
- Controlling the processes to maintain improvements gained with new design

To run this demo, execute Fandemo.m in cell execution mode.

Citation pour cette source

Dan Doherty (2024). Using MATLAB(R) and the Statistics ToolboxTM for Design for Six Sigma (DFSS) (https://www.mathworks.com/matlabcentral/fileexchange/8952-using-matlab-r-and-the-statistics-toolboxtm-for-design-for-six-sigma-dfss), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R14SP3
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Catégories
En savoir plus sur Conditional Mean Models dans Help Center et MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Version Publié le Notes de version
1.1.0.1

Updated license
1.1.0.0

Added trademarks
1.0.0.0