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Design of Experiments (DOE) is a very useful process improvement methodology. Microsoft Excel has some powerful data analysis tools, which I have, successfully, used for DOE. When it comes to analyzing cause and effect, we want to know what process factors affect our outputs. Correlation and Regression could give us an indication of the main factors, and the extent they affect the outputs. In some cases, there may be interactions among the different factors, or the mathematical relation between factors and outputs may not be linear. In these cases, it is useful to run a systematic set of experiments, to test all possible combinations of factors, to relate them to the outputs. Download this Excel file from OneDrive to be used in this presentation: https://1drv.ms/x/s!AgdGqM2fFHF3l08Id... You can see this article in: https://polyhedrika.blogspot.com/2020...