Design of Experiments (DOE) I: Introduction to DOE
Learn the techniques for planning and completing studies in which the inputs to a system/process can be varied and the outputs observed. Explore efficient planning and analysis methods, including regression and analysis of variance, for determining which inputs have statistically significant effects on outputs. Derive transfer functions that will quantify the contributions of the inputs to the output variable(s) and to the standard deviation (variability) of the output variable(s). Examine full and fractional factorial experiments, randomization, and robust designs. Gain hands-on experience using statapults, computer games, and simulations. Observe design of experiments solutions using various software packages including DOE Pro, DOE KISS, and MINITAB. Explore simulation techniques that accommodate inputs with varying quality distributions and discuss Monte Carlo analyses of the derived transfer functions.
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