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Design of Experiments (DOE)

Design of Experiments (DOE) is a systematic method to determine the relationship between factors affecting a process and the output of that process. Quantum XL provides comprehensive DOE tools for creating designs, analyzing results, and optimizing processes.

Getting Started

• DOE Ribbon - Overview of the DOE ribbon interface

Create Designs

Build experimental designs using the Design Wizard or create specific design types:

• Design Wizard – Guided design creation
• Two-Level Factorial Designs – Screening designs
• Three-Level Factorial Designs – Response surface designs
• Central Composite Design (CCD) – Response surface methodology
• Box-Behnken Designs – Efficient 3-level designs
• Plackett-Burman Design – Screening many factors
• Taguchi Designs – Robust parameter design
• D-Optimal Designs – Custom optimal designs

Analyze

Analyze your experimental data with powerful regression tools:

• Regression Overview – Getting started with analysis
• Ordinary Least Squares – Standard regression
• Binary Logistic Regression – For pass/fail responses
• Nominal Logistic Regression – For categorical responses
• Optimize – Find optimal factor settings

Charts

Visualize your results:

• Pareto of Coefficients – Identify significant factors
• Main Effects Plots – Factor impact visualization
• Interaction Plots – Factor interactions
• Surface and Contour Plots – Response surface visualization
• Residual Plots – Model validation

Additional Information

• Screening vs. Modeling – Choosing the right approach
• Blocking – Control nuisance variables
• Power and Sample Size – Plan your experiment
• Categorical Inputs – Working with qualitative factors