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Full Factorial Design: Understanding the Impact of Independent Variables on Outputs
Full factorial DOE, or Design of Experiments, is a method of designed experimentation. Using this method you manipulate the controllable factors (independent variables or inputs) in your process at ...
Simon Fraser University7y
Example of a Two-Level Full Factorial Design
Optionally, you can use the CVALS= option for levels of character type (see "Example of a Full Factorial Design in Two Blocks"). The design is saved in a user-specified output data set (SAVDESGN).
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Using Fractional Factorial Design of Experiments Saved Almost $800,000
How can the fractional factorial design of experiments benefit you? A global beverage company faced a persistent issue in its ...
Simon Fraser University7y
Type III and IV SS and Estimable Functions
The philosophy behind both the Type III and Type IV hypotheses is that the hypotheses tested for any given effect should be the same for all designs with the same general ... When no missing cells ...
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How Squeegee Blade Profile Helps Improve the Screen-Printing Process
It is generally agreed that, on average, 40% to 60% of the defects generated by a surface mount production line can attributed to the solder paste screen (stencil) printing process. This process ...