- 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 3
Starting Out with DOE
Example and Key Concepts
A designed experiment is a controlled set of tests designed to model and explore the relationship between factors and one or more responses. JMP includes a variety of tools that enable you to create efficient experimental designs that work for your situation. In particular, these classes of designs are available:
• The Custom Design platform customizes a design for your unique situation. It constructs designs that accommodate any number of factors of any type and factors that are difficult to change (split plot situations). You control the number of runs.
• The Definitive Screening Design platform constructs an innovative class of screening designs where main effects are not aliased with each other or with two-way interactions. These designs also allow estimation of quadratic terms.
• The Screening Design, Response Surface Design, Full Factorial Design, Mixture Design, and Taguchi Arrays platforms construct traditional experimental designs.
• The Covering Array, Choice Design, Space Filling Design, Accelerated Life Test Design, and Nonlinear Design platforms construct specialized design types.
The Evaluate Design and Augment Design platforms provide tools for evaluating and augmenting existing design. The Sample Size and Power platform addresses sample size and power calculations for specialized situations.
This chapter presents an example that illustrates the JMP approach to DOE. This chapter also discusses the framework for DOE, the workflow that supports design creation, and principles that are fundamental to DOE.
Figure 3.1 Example of a Profiler Plot
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