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

M-files used in the webinar held on November 2, 2005
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Actualizado 1 Sep 2016

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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.

Citar como

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. Recuperado .

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