Stat-Ease, Inc. welcomes you to version 9 of Design-Expert software (DX9) for design of experiments (DOE). Use this Windows®-based program to optimize your product or process. It provides many powerful statistical tools, such as:
- Two-level factorial screening designs: Identify the vital factors that affect your process or product so you can make breakthrough improvements.
- General factorial studies: Discover the best combination of categorical factors, such as source versus type of raw material supply.
- Response surface methods (RSM): Find the optimal process settings to achieve peak performance.
- Mixture design techniques: Discover the ideal recipe for your product formulation.
- Combinations of process factors, mixture components, and categorical factors: Mix your cake (with different ingredients) and bake it too!
Your Design-Expert program offers rotatable 3D plots to easily view response surfaces from all angles. Use your mouse to set flags and explore the contours on interactive 2D graphs. Our numerical optimization function finds maximum desirability for dozens of responses simultaneously!
You'll find a wealth of statistical details within the program itself via various Help screens. Take advantage of this information gold mine that is literally at your fingertips. Also, do not overlook the helpful annotations provided on all reports.
For a helpful collection of checklists and "cheat sheets," see the Handbook for Experimenters. It's free to all registered users. Furthermore, for quick primers on the principles of design and analysis, we recommend you read the following two soft-cover books from Stat-Ease Principals Mark Anderson and Pat Whitcomb, published by Productivity Press of New York city:
- DOE Simplified: Practical Tools for Effective Experimentation,
- RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments.
Anderson and Whitcomb have also written a Primer on Mixture Design. It's posted free for all to read via the "I'm a Formulator" link on the Stat-Ease home page.
Go to http://www.statease.com/prodbook.html for details and ordering information on the books listed above.
Those of you who've used previous versions of Design-Expert software will be impressed with the many improvements in version 9. Here are the highlights:
Hard-to-change factors handled via split plots
- Two-level, general and optimal factorial split-plot designs: Make it far easier as a practical matter to experiment when some factors cannot be easily randomized.
- Half-normal selection of effects from split-plot experiments with test matrices that are balanced and orthogonal: The vital effects, both whole-plot (created for the hard-to-change factors) and sub-plot (factors that can be run in random order), become apparent at a glance!
- Power calculated for split plots versus the alternative of complete randomization: See how accommodation of hard-to-change factors degrades the ability to detect certain effects.
Other new design capabilities
- Definitive screening designs: If you want to cull out the vital few from many numeric process factors, this fractional three-level DOE choice resolves main effects clear of any two-factor interactions and squared terms (see screen shot of correlation matrix - more on that later).
- On the Factorial tab select a simple-sample design for mean-model only: Take advantage of powerful features in Design-Expert software for data characterization, diagnostics and graphics - for example with raw outputs from a process being run at steady-state.
Much-improved capabilities to confirm or verify model predictions
- Entry fields for confirmation data and calculation of mean results: Makes it really easy to see if follow-up runs fall within the sample-size-adjusted prediction intervals.
- Enter verification runs embedded within blocks as controls or appended to your completed design: Lend veracity to your ultimate model by these internal checks.
- Verification points displayed on model graphs and raw residual diagnostics: See how closely these agree to what's predicted by your model.
New and more-informative graphics
- Adjustably-tuned LOESS fit line for Graph Columns: Draw a curve through a non-linear set of points as you see fit. *(Locally weighted scatterplot smoothing.)
- Color-coded correlation grid for graph columns: Identify at a glance any factors that are not controlled independently of each other, that is, orthogonally; also useful for seeing how one response correlates to another.
Greater flexibility in data display and export
- Journal feature to export data directly to Microsoft Word or Powerpoint: Fast and formatted for you to quickly generate a presentable report on your experimental results.
- Improved copy/paste of Final Equation from the analysis of variance (ANOVA) report to Microsoft Excel: This not only saves tedious transcription of coefficients but it also sets up a calculator for you to 'plug and chug', that is, enter into the spreadsheet cells what values for the inputs you'd like to evaluate and see what the model predicts for your response.
- New XML* script commands for exporting point predictions: Helpful for situations where one wants to automate the transfer of vital outputs from Design-Expert to other programs. *(Extensible Markup Language)
More powerful tools for modeling
- All-hierarchical model (AHM) selection: Sort through all possible models up to the one you designed the experiment for, but all the while maintain hierarchy of terms so you do not end up with something ill-formulated.
- Special quartic Scheffé polynomial included in automatic selection for mixture modeling: Sometimes this added degree (4th!) of non-linear blending helps to better shape the response surface - making it better for predictive purposes.
More choices when custom-designing your experiment
- Enter a single factor constraint for response surface designs: Creates a 'hard' limit on inputs that cannot go beyond a certain point (such as zero time) physically or operationally.
More capability for numerical optimization
- Include Cpk* as a goal: Meet quality goals explicitly. *(A process capability index widely used for Six Sigma and Design for Six Sigma programs.)
Enhanced design evaluation
- One-sided option added to FDS* graph: Size your design properly for a verification experiment done to create a QBD** design space.
*(Fraction of design space) **(Quality by Design - a protocol promoted by the US Food & Drug Administration (FDA).)
Many things made nicer, easier, more configurable and faster
- Diagnostics report now can be sorted by any of the statistics listed: This enables a more informative ordering than by run number (the default).
Niceties that only statisticians might truly appreciate
- Mean correction for transformation bias when responses displayed in original scale: All you need to know is that our statisticians figured out how to eliminate a tricky, little-known bias!
- Propagation of error (POE) carried out to the second derivative: Makes POE more accurate - that's a good thing!
- Allow averaging of categoric factors when viewing a graph: Convenient for getting the big picture of where to find robust operating settings.
- Display confidence bands with or without POE added: Easier to match output with other programs that do not offer POE features like this.
- Add unblocked results to evaluation of blocked experiments: Aids in comparing designs on the basis of matrix measures.
Good news for network administrators
New more flexible and easier-to-use license manager with greater power to serve enterprise users: For example, network 'seats' can be checked out to individual laptops and multiple opening of the program on a specific computer will only use one seat.
In addition to the above, see these features from Design-Expert 8 and earlier.
For a flowchart of the tutorials, please check back. It is coming soon.
Data and simulation files associated with the tutorials need to be downloaded separately.
The Design-Expert 9 tutorials can be read with Acrobat Reader (9.0 or higher recommended) which you may download from Adobe at adobe.com. For your convenience, they are listed [in square brackets] with their corresponding tutorial below. To download a file, right-click on the link and choose "Save Target As..." or "Save Link As..." depending upon your browser.
For resources in other languages, click here.
There are a few DX8 tutorials noted below that will be replaced by DX9 versions as they become available.
|Tutorials (DX & DE)||Size||Description|
|General Multilevel-Categoric One-Factor||1.99 MB||Build and analyze a one-factor factorial design, "Bowling"|
|General Multilevel-Categoric Factorial||1.73 MB||Build and analyze a three-level design with factorial analysis, "Battery" [Battery.simx]|
|Two-Level Factorial||2.64 MB||Two-level factorial design, "Filtrate" [Filtrate.simx]|
|Foldover Designs||1.24 MB||Augment a factorial design by foldover (DX8 tutorial) [Biker.dxp]|
|Taguchi Designs||641.36 KB||Taguchi designs (DX8 tutorial) [Taguchi-L16.dxp]|
|Split-Plot General Multilevel-Categoric Factorial||1.03 MB||Build and analyze a split-plot factorial design, "Pulp" [Pulp.simx]|
|Tutorials (DX Only)||Size||Description|
|One Factor RSM||1.86 MB||Build and analyze a one-factor RSM design, "Driving"|
|Multi-Factor RSM||3.46 MB||Multifactor response surface, "RSM" [RSM.dxpx & RSM-a.dxpx]|
|Optimal Numeric||1.05 MB||Adding multifactor constraints to an optimal design|
|Mixture Designs||2.64 MB||Build and analyze a simplex-lattice design, "Mix" [Mix.dxpx & Mix-a.dxpx]|
|Combined Mixture-Process||1.65 MB||Build and analyze a mixture design with process factors, "Fish Patties" [Fish Patties.simx]|
|Optimal Categoric||1.28 MB||Adding categoric factors to an optimal design (DX8 tutorial) [Peel.dxp]|
|Historical RSM||824.21 KB||Analysis of highly correlated data, "Longley" (DX8 tutorial) [Longley.dxp]|
|Simple Sample||416.36 KB||How to use simple sample designs [Simple Sample-Motor Shaft.dxpx]|
|Split-Plot Factorial||698.29 KB||How to build a factorial split-plot [PCR with data.dxpx & PCR.simx]|
|Split-Plot Optimal||298.23 KB||How to build an optimal split-plot [PCR as Optimal Build (starter).dxpx]|
|Verification Runs||455.64 KB||How to use verification runs [RSM-a.dxpx] (DX9 Only)|
|Confirmation Runs||323.3 KB||How to enter confirmation runs [RSM-a.dxpx] (DX9 Only)|
|What's new in version 9?||1.82 MB||Illustrated highlights of new features in Design-Expert 9|
|New Factorial Design Builder||370.85 KB||DX9 factorial design builder: screenshots and comparison to DX8|
|Design-Expert® 9 Tutorials||23.66 MB||Installs all Design-Expert tutorials and data files.|
|Design-Ease® 9 Tutorials||11.43 MB||Installs all Design-Ease tutorials and data files.|
|DX9 Tutorial Flowchart||135.32 KB|
|Help||Video tutorial help and navigation tips|
|1||Building a 2-level factorial and sorting data|
|2||Analyzing the data in a 2-level factorial|
|3||Exploring the model graphs|
|4||Finding the optimum settings and confirming the model|
|1||Building and Analyzing an Optimal Mixture Design|
|Design-Expert 9 (Single User or Network Client)|
|Hard Drive||100 MB free space|
|Microsoft .NET Framework||Version 4.0|
|Server for Network Version (License Manager)|
|Hard Drive||50 MB disk space|
On a server:
Or a computer:
Network version requires installation of the Reprise License Manager (RLM) as a service.
May be installed on a virtual server that is assigned a static ethernet MAC address.
Getting Started - Installation Size: (1.38 MB)
Getting Started with Version 9 of Design-Expert® Software
Design-Expert® 9.0.6 Network Bundle Size: (24.95 MB)
Design-Expert 9 client install and network server.
Network Installation Size: (1.57 MB)
Network installation for Design-Expert software version 9.
Design-Expert® 9 Read Me Size: (27.25 KB)
Design-Expert® 9 Read Me file
Design-Expert® 9 Tutorials Size: (23.66 MB)
Installs all Design-Expert tutorials and data files.
Design-Expert® 9.0.6 Size: (29.92 MB)
Design-Expert 9 Installer.