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• Design Ease是實用的實驗設計軟件，可幫助您設置與分析常規析因設計、二級析因設計、部分析因設計（多達31個變量）與PlackettBurman設計（多達31個變量）。 您也可以進行數值優化。利用這些設計，您可以快速篩選出關鍵因素及其相互作用。當前Design Ease的新版本為V 10.
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• DesignEase is a powerful, yet easytouse program for experimental design.A must for anyone wishing to improve a process or a product, DesignEase allows you to screen for vital factors and make breakthrough process improvements.
• DesignEase is an entrylevel program for design and analysis of factorial screening experiments. It is a 'light' version of the much more comprehensive DesignExpert software from StatEase (which offers response surface methods (RSM) and mixture designs for product formulators). Use DesignEase software to detect main effects and interactions that lead to breakthrough improvements. A few of version 8's many new features include upfront power calculations for factorial designs, the option of displaying grid lines on 3D graph back planes, and MinRun Res V designs up to 50 factors.
• Features
• A Variety of Design Creation Tools to Meet All Your Experimental Needs:
• Upfront power calculation for factorial designs: This mainstreams in the designbuilder a ‘headsup’ on the percent probability of seeing the desired difference in each response—the signal—based on the underlying variability—the noise.
• “MinRun Res V” designs are now available for 6 to 50 factors: Resolve twofactor interactions (2FI's) in the least runs possible while maintaining a balance in low versus high levels.
• “MinRun Res IV” (twolevel factorial) designs for 5 to 50 factors: Screen main effects with maximum efficiency in terms of experimental runs.
• Twolevel full and fractional factorials for up to 512 runs and 21 factors, along with minimumaberration blocking choices: Build large designs.
• New “Color By” option: Colorcode points on graphs according to the level of another factor—a great way to incorporate another piece of information into a graph.
• General (multilevel) factorial designs (up to 32,766 runs) using factors with mixed levels.
• Highresolution irregular fractions, such as 4 factors in 12 runs.
• PlacketBurman designs for 11, 19, 23, 27 or 31 factors in up to 64 runs respectively.
• Taguchi orthogonal arrays.
• Ability to graph any two columns of data on the XY graph (this is a great way to view a blocked effect).
• Easytouse automatic or manual model reduction.
• Ability to easily analyze designs with botched or missing data.
• Designbuilder updates resolution of twolevel fractional factorials when the number of blocks is changed: Immediately see how segmenting a design might reduce its ability to resolve effects.
• Block names are now entered during the design build: Identify how you will break up your experiment, for example by specific shift, material lot or the like.
• “MinRun Res IV plus two” option: Ask for two extra runs to make your experiment more robust to missing data.
• Userdefined base factors for design generators: You have more flexibility to customize fractional factorial designs.
• Expanded Doptimal capabilities—impose balance penalty, force categoric balance: This feature helps users equalize the number of treatments.
• Coordinate Exchange capability for Doptimal designs: Avoid the arbitrary nature of designs constructed from candidate point sets.
• In General or Factorial Doptimal designs, categorical factors can be specified as either nominal or ordinal (orthogonal polynomial contrasts): This affects the layout of analysis of variance (ANOVA).
• Specify the same amount for low and high in a mixture design: This is handy for keeping track of fixed component levels—these do not appear in the model.