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Design of Experiments Guide > Custom Designs
Publication date: 07/24/2024

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. The Custom Design platform enables you to constructs a wide variety of designs, including: Screening, Response Surface, Mixture, Random Block, Split Plot, Split-Split-Plot, and Two-Way Split Plot designs. Use the Custom Design platform to design experiments that include:

Factors of many different types.

Constraints on the design space.

Specific effects are necessary to estimate and effects that are desirable to estimate, if possible, given the number of runs.

Specify a number of experimental runs that matches your budget.

This chapter contains a detailed example of how to use the Custom Design platform, followed by information about the platform. See also “Examples of Custom Designs”.

Figure 4.1 Color Map for Absolute Correlations 

Color Map for Absolute Correlations

Contents

Overview of Custom Design

Example of a Custom Design Construction

Example of a Custom Design Analysis

Build a Custom Design

Responses
Factors
Define Factor Constraints
Alias Terms
Design Generation
Design Explorer
Design
Design Evaluation
Output Options

Custom Design Options

Simulate Responses
Save X Matrix
Number of Starts
Design Search Time

Statistical Details for Custom Designs

Designs with Randomization Restrictions
Covariates with Hard-to-Change Levels
Numbers of Whole Plots and Subplots
Optimality Criteria
D-Efficiency
Coordinate-Exchange Algorithm
Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).