MA487 Design of ExperimentsMA487 Design of ExperimentsDesign of Experiments (DOE) is the discipline concerned with the optimal acquisition
and analysis of data for the purpose of investigating and controlling natural phenomena. Usually
the investigator seeks to understand the effect of various factor combinations ("treatments") on some variable
of interest. As a result, DOE is very useful in engineering, scientific, and management fields. Within engineering disciplines, DOE is useful for improving existing processes and designing new processes and products.
With respect to process improvement, use of DOE methodology can result in
With respect to engineering design activities, uses of DOE methods include
For a more complete overview of DOE, click here.
In this course we will cover DOE methods starting with single factor experiments and progressing to multifactor studies including various screening designs, e.g., full and fractional factorial experiments. We will also discuss methods for experimentally optimizing processes and products, in particular, response surface experiment design and analysis.
The purpose of this webpage is to provide convenient access to various materials, such as the course syllabus, hw's, and supplemental materials, e.g., Minitab macros. If you have any questions, please e-mail me at inlow@rose-hulman.edu.
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