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

by Dan Doherty

 

07 Nov 2005 (Updated 02 Jul 2009)

M-files used in the webinar held on November 2, 2005

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Description

These are the M-files that accompany the webinar titled "Using MATLAB® and the Statistics Toolbox™ for Design for Six Sigma (DFSS)." The recorded webinar will be available for viewing on the week of November 28, 2005:

http://www.mathworks.com/company/events/archived_webinars.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.

Required Products Optimization Toolbox
Statistics Toolbox
MATLAB release MATLAB 7.1.0 (R14SP3)
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Comments and Ratings (3)
13 Dec 2005 Scott Millsap  
27 Apr 2006 Diana Chirac

>> load Originalfan
??? Error using ==> load
Unable to read MAT file Originalfan.mat

File may be corrupt.

13 Mar 2007 alfred ongiro  
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02 Jul 2009

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Tag Activity for this File
Tag Applied By Date/Time
statistics Dan Doherty 22 Oct 2008 08:05:35
probability Dan Doherty 22 Oct 2008 08:05:35
design for six sigma Dan Doherty 22 Oct 2008 08:05:35
dfss Dan Doherty 22 Oct 2008 08:05:35
doe Dan Doherty 22 Oct 2008 08:05:35
transfer function Dan Doherty 22 Oct 2008 08:05:35
model Dan Doherty 22 Oct 2008 08:05:35
monte carlo Dan Doherty 22 Oct 2008 08:05:35

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