ReliaSoft DOE++

ReliaSoft 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.

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.

DOE++ facilitates the design types employed in traditional DOE and also expands upon the traditional methods to support “reliability DOE,” which provides the proper treatment for interval and right censored data. Supported design types include:

• One Factor Designs
• Factorial Designs
  • Two Level Full Factorial
  • Two Level Fractional Factorial
  • Plackett-Burman
  • General Full Factorial
  • Taguchi Orthogonal Array
  • Taguchi Robust Designs
• Response Surface Method Designs
  • Central Composite
  • Box-Behnken
• Reliability DOE
  • One Factor Reliability Designs
  • Two Level Full Factorial Reliability Designs
  • Two Level Fractional Factorial Reliability Designs
  • Plackett-Burman Reliability Designs

DOE++’s File Import Wizard allows you to import data to build any of the available designs, while the Multiple Linear Regression Tool utility allows quick exploration of regression relationships between the responses and factors of interest.

DOE++ provides a detailed analysis of experimental data, including:

• Analysis of variance (ANOVA) information — an overview of the effects of factor(s) on response(s).
• Fit metrics to help assess the validity of the model.
• Level-specific information and comparisons for one factor designs.
• The ability to break down the importance of individual factors, interactions and/or groups of effects to output.
• Likelihood ratio test results for reliability DOEs.

DOE++ offers a wide variety of diagnostic, interpretive and predictive plots to graphically present your analysis results. In addition to a selection of individual plots (which are available for each design type based on their relevance and utility), the flexible Side-by-Side Plots utility allows you to simultaneously view multiple plots for a given response and the MultiPlots utility facilitates comparison of different response analyses.

You can specify the goal for each response in your analysis as a maximum, minimum or target value. DOE++ will search for the combinations of factor settings that most effectively lead to the desired output and rank them according to their desirability. If certain responses are more important to optimize than others, or if the target is more narrowly defined, the software can take that into account. Solutions can be viewed graphically or numerically.

• Weibull++
• ALTA