Design of Experiments | DOE
Design of Experiments (DOE) is a methodology that can be effective for general problem-solving, as well as for improving or optimizing product design and manufacturing processes. Specific applications of DOE include identifying proper design dimensions and tolerances, achieving robust designs, generating predictive math models that describe physical system behavior, and determining ideal manufacturing settings.
DOE enables a system or process to be investigated systematically. In a typical DOE project, a series of structured tests are designed in which planned changes are made to the input variables of a process or system. The effects of these changes on a pre-defined output are then assessed.
A good foundation of statistical tools and experimentation concepts is a prerequisite for learning DOE. While DOE can be analyzed in many software programs ( eg Minitab & JMP), it is important for practitioners to understand basic DOE concepts for proper application.
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