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ReliaSoft’s DOE++ software 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 with Reliability DOE folios, which offer a major breakthrough for reliability-related analyses by providing the proper analysis treatment for interval and right censored data!
DOE++ guides you through the designs and analyses necessary for all phases of the 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 powerful and flexible interface facilitates the design and analysis process while making it easy to organize related analyses together in the same file.
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:
DOE++’s Free Form Folio and Multiple Linear Regression Tool enable you to quickly explore regression relationships between the responses and factors of interest without having to configure a design.
DOE++ provides a detailed analysis of response data from designed experiments, including:
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 while the Overlay Plots utility facilitates comparison of different response analyses.
Level Plots:
Effect Plots:
Residual Plots:
Diagnostic Plots:
DOE++’s Optimization Folio provides a collection of powerful tools that you can use to explore the factor level combinations that produce response values within the limits you specify. This includes the ability to search for the factor level combination that produces the most desirable output, as well as the ability to display all the combinations that keep the output within the specified limits.