Isight

Work quickly and efficiently with highly visual and intuitive interfaces, wizards, and drag-and-drop capabilities.

• Design Gateway: Quickly create integrated simulation process flows that couple simulation programs regardless of discipline, programming language, or format using this intuitive graphical user interface.
• Runtime Gateway: Visualize results with engineering process flows, graphs, and tables. The user can choose between two execution engines: a desktop execution engine, or a distributed execution engine based.
• Component Development Environment: Add custom techniques, including DOE, approximation, approximation error analysis, optimization and Monte Carlo sampling methods, and random variable distributions.

Build simulation process flows and exchange data with external sources.

• Abaqus: Quickly and automatically exchange data with Abaqus input, .cae, .odb, and .dat files.
• Dymola: Quickly and automatically exchange data with Dymola input dsin.txt files and output with .mat files.
• CATIA V5: Exchange data with CATIA V5 models, update a CATIA V5 model, and export native and neutral file formats.
• Microsoft Office Components Word™ and Excel™: Send Isight parameter values and results directly to a preformatted Microsoft Word document—an excellent way to quickly share results with others in the organisation.
• Email: Send Isight parameter values and results directly to a preformatted email message that will be automatically sent at a
  predetermined point in a process flow.
• MATLAB: Integrate MATLAB® files with Isight to allow parameters to be read from or written to MATLAB® scripts.
• Mathcad: Extract Mathcad parameters and to execute a Mathcad worksheet.
• COM (Microsoft Component Object Model): Directly communicate with COM objects.
• Data Exchanger, OS Command, and Simcode: Data Exchanger enables easy data exchange between ASCIIbased files. The XML component enables easy data exchange between XML formatted files.
• Calculator: Perform calculations, unit conversions, data transformations and vector and matrix operations as part of the process flow for all parameter types including strings.
• Script: Execute a script of Java commands to manipulate parameters, interact with files, or invoke other programs.
• Database: Interface with a SQL-compliant relational database (Oracle, DB2, Access, or MySQL Server 2000) to support retrieval and storage of input and output data.
• Grid Support: Enable parallel submission of optimization, Monte Carlo, and DOE jobs on multiprocessor machines.

Optimize the simulated behavior characteristics in terms of performance, performance variance, and reliability.

• Design of Experiments (DOE): Access a full suite of methods including Central Composite, Data File, Full Factorial, Fractional-Factorial, Box-Behnken, Latin Hypercube, Optimal Latin Hypercube, and more.
• Optimization and Target Solver: Define your optimization problem in terms of variables and multiple weighted and scaled objectives and constraints using various algorithms.
• Data Matching: Calibrate simulation models by minimizing any variety of different error measures using optimization techniques.
• Approximations: Create an approximation model for any task, any application component, or from a data file.
• Monte Carlo Analysis: Leverage simple random sampling, descriptive sampling, eight standard distributions, and distribution truncation.
• Six Sigma: Use probabilistic analysis to measure the quality of a design given uncertainty or randomness of a product or process.
• Taguchi Method: Improve the quality of a product or process by striving to achieve performance targets and minimizing performance variation.