- Contents
- Learn about JMP
- Introduction to DOE
- Starting Out with DOE
- Custom Designs
- Construct Designs That Meet Your Needs
- Overview of Custom Design
- Example of a Custom Design
- Custom Design Window
- Custom Design Options
- Technical Details
- Examples of Custom Designs
- Perform Experiments That Meet Your Needs
- Screening Experiments
- Response Surface Experiments
- Mixture Experiments
- Experiments with Covariates
- Experiments with Randomization Restrictions
- Augment Designs
- Definitive Screening Designs
- The Fit Definitive Screening Platform
- Screening Designs
- Overview of Screening Designs
- Examples of Screening Designs
- Screening Design Window
- Screening Design Options
- Additional Examples of Screening Designs
- The Fit Two Level Screening Platform
- Response Surface Designs
- Full Factorial Designs
- Mixture Designs
- Taguchi Designs
- Evaluate Designs
- Explore Properties of Your Design
- Overview of Evaluate Design
- Example of Evaluate Design
- Evaluate Design Launch Window
- Evaluate Design Window
- Evaluate Design Options
- Compare Designs
- Compare and Evaluate Designs Simultaneously
- Overview of Comparing Designs
- Examples of Comparing Designs
- Compare Designs Launch Window
- Compare Designs Window: Specify Model and Alias Terms
- Compare Designs Window: Design Evaluation
- Compare Designs Options
- Prospective Sample Size and Power
- Discrete Choice Designs
- MaxDiff Design
- Covering Arrays
- Space-Filling Designs
- Overview of Space-Filling Designs
- Space Filling Design Window
- Space Filling Design Options
- Sphere-Packing Designs
- Latin Hypercube Designs
- Uniform Designs
- Comparing Sphere-Packing, Latin Hypercube, and Uniform Methods
- Minimum Potential Designs
- Maximum Entropy Designs
- Gaussian Process IMSE Optimal Designs
- Fast Flexible Filling Designs
- Borehole Model: A Sphere-Packing Example
- Accelerated Life Test Designs
- Nonlinear Designs
- Column Properties
- Technical Details
- References
- Index
Chapter 4
Custom Designs
Construct Designs That Meet Your Needs
Use the Custom Design platform to construct optimal designs that are custom built for your specific experimental setting. Generally, a custom design is more cost-effective than a design obtained using alternative methods. You can perform the following tasks:
• Enter factors of many different types.
• Specify constraints on the design space.
• Indicate which effects are necessary to estimate and which are desirable to estimate, if possible, given the number of runs.
• Specify a number of experimental runs that matches your budget.
The Custom Design platform constructs a wide variety of designs, including these special design types: Screening, Response Surface, Mixture, Random Block, Split Plot, Split-Split-Plot, and Two-Way Split Plot.
This chapter contains a detailed example of how to use the Custom Design platform, followed by information about the platform. See also the “Examples of Custom Designs” chapter.
Figure 4.1 Color Map for Absolute Correlations
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