DOE++: Software Tool for Experiment Design and Analysis (DOE)



DOE software designed with reliability in mindTM

ReliaSoft’s DOE++ software tool facilitates traditional Design of Experiments ( DOE ) techniques for studying the factors that may affect a product or process in order to identify significant factors and optimize designs. The software also expands upon standard methods to provide the proper analysis treatment for interval and right censored data — offering a major breakthrough for reliability-related analyses!

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Software Features

DOE++ guides you through the designs and analyses necessary for all phases of the experiment design and analysis strategy (DOE strategy), from screening for significant factors, through in-depth analysis of the targeted factors and factorial interactions, to selecting input levels for optimal performance. The software supports a variety of experiment design types, including factorial designs, fractional factorial designs, Taguchi robust designs, response surface method designs and reliability DOE.

Synthesis Integration

With integration into the Synthesis Platform, analyses are now stored in a centralized database that supports simultaneous access by multiple users and shares relevant reliability information between Synthesis-enabled software tools. For enterprise-level repositories, both Microsoft SQL Server® and Oracle® are supported.

Available Training

ReliaSoft offers a comprehensive three-day training course that begins with the fundamentals of experiment design and analysis and continues with advanced DOE concepts such as factorial design, fractional factorial design, robust design, response surface methodology and mixture design. The course also provides hands-on application examples using the DOE++ software tool.

Benefits and Applications

The DOE++ software provides an extensive array of tools to help you design experiments that are effective for studying the factors that may affect a product or process and analyze the results of such experiments. Some of the many useful applications include the ability to:

  • Identify the significant factors that affect a product or process.
  • Evaluate ways to improve and optimize the design.
  • Go beyond traditional Design of Experiment ( DOE ) techniques in order to apply the proper analysis treatment for product lifetime data — the response information that is often of interest to reliability engineers.

Software Capability Highlights

  • One Factor Designs
  • Factorial Designs
    • Two Level Full Factorial
    • Two Level Fractional Factorial
    • Plackett-Burman
    • General Full Factorial
    • Taguchi Orthogonal Array
  • Response Surface Method Designs
    • Central Composite
    • Box-Behnken
  • Taguchi Robust Designs
  • Mixture Designs
  • Reliability DOE (with any of the above design types)

  • Weibull
  • Lognormal
  • Exponential

  • Include/exclude effects
  • Include/exclude responses
  • Add, modify or delete factors
  • Add, modify or delete responses
  • Add, remove or re-order runs
  • Add replicates
  • Fold the design
  • Add center points
  • Change design type
  • Alter reliability data type
  • Create custom optimal design
  • Up to 50 measurements for each test run

  • Detection Power
  • Orthogonality
  • Alias Structure

  • Analysis of Variance (ANOVA)
  • Regression Model Results
  • Fit Metrics to Assess Model Validity
  • Alias Structures for Factorial Designs
  • Factor Level Output and Comparisons
  • Likelihood Ratio Test Results

  • Level Plots
    • Response vs. Level
    • Level Mean
    • Life Characteristic
    • Box Plot
    • Mean pdfs
    • Comparison Chart
  • Effect Plots
    • Effect Probability
    • Pareto Chart
    • Main Effects
    • Interactions
    • Interactions Matrix
    • Term Effect
    • Cube Plot
    • Scatter Plot
    • Contour Plot
  • Residual Plots
  • Diagnostic Plots
    • Leverage
    • Cook’s Distance
    • Box-Cox Transformation

  • Variability Analysis
  • Optimization
  • Free Form Analysis and Multiple Linear Regression (for data not in an established design type)

  • Bias & Linearity Study
  • Reproducibility & Repeatability Study
  • Gage Agreement Study

  • Overlay Plots and Side-by-Side Plots
  • 3D Surface Plots
  • RS Draw® Metafile Graphics Editor

  • Analysis history
  • Response prediction for untested treatments
  • Response transformations for improved ANOVA
  • Synthesis Workbooks (spreadsheet and word processing modules) and
  • Function Wizard
  • Quick Statistical Reference

  • Obtain simulated response data via BlockSim/RENO
  • Publish models based on reliability DOE analyses

Latest Release
10.1.6 ♦ 24-Oct-2016 | Update 


Contact Us | Live Chat | Technical Support 


Windows 7, 8, 8.1 or 10 Requirements 


Interface Languages: English, French, German, Portuguese, Spanish, Simplified Chinese


Training: G588, Quick Start Guide


Why Upgrade? New in Version 10


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