Summary
This white paper presents the JMP Design of Experiments (DOE) platform, which offers advanced capabilities for structuring experiments to optimize processes and drive innovation. It outlines various DOE methodologies available within JMP, including Custom Design, Augment Design, Easy DOE, Definitive Screening, and Classical Designs. The paper explains how these platforms allow users to tailor experimental designs to their specific needs, manage constraints, and utilize various design types to achieve optimal results. Detailed descriptions of the workflows involved in Custom Design are provided, including defining responses and factors, specifying models, generating designs, and conducting experiments. The paper also discusses diagnostic tools for evaluating designs and the integration of analysis features that facilitate a smooth transition from design to results interpretation. Overall, the white paper emphasizes the flexibility and user-friendly environment of JMP, enabling users to push the boundaries of experimental design and analysis.
