 |
Related Topics: |  |
 |
 |
|
 |
 |
 |
With the release of the Synthesis version, DOE++ offers a completely updated user interface that has many new and enhanced features. Some of the major additions and enhancements include:
DOE++ analyses are now stored in a centralized database that supports simultaneous access by multiple users and shares relevant information between ReliaSoft’s Synthesis applications.
For multi-user access, you can use basic security groups predefined in the software or customize access permissions to meet the specific needs of your organization.
For DOE++ specifically, the platform integration features enable you to:
Use the new Simulation Worksheet to create an experiment design in DOE++, which you can link to a diagram in BlockSim/RENO to simulate the experiment. The resulting data set can then be analyzed in DOE++ in order to investigate the effect of one or more settings on the simulation results.
Publish models based on reliability DOE (R-DOE) analysis results in DOE++ folios. For example, you can now seamlessly use R-DOE analyses to set the properties for a reliability block diagram or fault tree in BlockSim, and the software can automatically update the diagram if the underlying data analysis changes.
Version 9 incorporates several design improvements and new features to help you easily create new experiment designs that meet your analysis needs. For example:
The standard design folio interface has been completed updated so it is easier than ever to build, modify and even recreate a design. The folio now offers an intuitive navigation panel for convenient access to view and enter the design settings. And while you experiment with different settings, a summary of important properties (such as the total number of runs) is always visible and up to date.
When creating Taguchi orthogonal array (OA) designs, Version 9 can automatically assign OA columns to factors in order to avoid aliasing the interactions you specify.
The new robust design folio is dedicated exclusively to robust parameter designs, making it easy to access and modify any properties of the design's inner and outer arrays.
For more consistency, one factor designs can now be created in the same folio and with the same format as the other DOE design types (e.g., factorial designs). The One-Way ANOVA Folio is now available for users who prefer the older format.
When none of the predefined design types are feasible, the new Optimal Design tool allows you to build a custom design that is optimized using the inputs you provide. For example, this tool can take into account the specific effects you want to investigate and any constraints on the factor levels combinations that can be used.
The new Design Evaluation feature helps you determine whether the design settings you've chosen are appropriate. You can assess a proposed design in terms of its ability to detect a given amount of effect. You can also evaluate a design by examining its alias structure, comparing its optimality to that of other designs, and calculating other relevant values. If the design is inadequate, you can simply modify some of its settings (e.g., the number of replicates) and re-evaluate.
Once a design has been created, you may wish to make further modifications. Version 9 includes improvements for modifying an existing design, such as:
The ability to change the design type, factors and responses after you've built the design—and even after you've entered response data. (The recorded data can be automatically transferred to the updated design, see Changing Design Settings.)
The new Augment Design feature allows you to quickly add a specified number of replicates or blank runs to an existing design.
DOE++ has always supported the reliability DOE methodology (R-DOE), which is used when the response information is lifetime data. Version 9 expands the R-DOE capabilities. For example:
All of the design types provided for traditional DOE analysis are now available for R-DOE as well (including general full factorial, Taguchi OA and response surface methodology designs).
You can now create multi-response designs that use R-DOE for some responses and traditional DOE for others.
The Free Form Folio enables you to perform advanced analyses (including reliability DOE) with existing data. With this tool, you don't have to create an experiment design first. You just specify which columns contain factors/responses, enter the data and calculate.
Version 9 now uses a standalone Optimization Folio to perform all your optimization calculations. In addition to the Optimal Solution Plot that you know from Version 1, this folio includes two new tools that allow you to visually investigate which factor level combinations will produce response values that fall within a specified target range.
When your focus is on the relationship between two factors and the response, you can use the Overlaid Contour Plot to vary two factors and hold any others fixed.
For more complicated scenarios, the Dynamic Overlaid Contour Plot allows you to vary three factors or more.
The quality of your data is limited by the quality of the measurement system you use. To help you obtain the best data possible, Version 9 includes three new tools for measurement systems analysis.
The Linearity and Bias Folio analyzes a system’s measurements in order to evaluate its accuracy (i.e., how close its measurements are to the actual values).
The Gage R&R Folio analyzes a system’s measurements in order to evaluate its precision (i.e., its ability to deliver the same value when repeatedly used to measure the same part).
The Gage Agreement Folio analyzes the measurements from two systems in order to determine whether and how they differ in terms of accuracy and precision.
© 1992-2015. ReliaSoft Corporation. ALL RIGHTS RESERVED.