Product

SmartSIM

Simulation & Test Data-Driven Design Analysis Platform

SmartSIM maximizes the value of engineering data through seven core capabilities — from scenario generation and data transformation to sensitivity & reliability analysis, metamodel prediction, and automated reporting — unified in a single workflow.

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Automated Scenario Generation for Analysis and Testing

Scenario generation based on Maximin Latin Hypercube Sampling

Maximize minimum distance between sample points to evenly distribute samples across the design space
Efficient initial design point construction even in high-dimensional spaces
Explore diverse variable combinations effectively with fewer scenarios
Analyze interactions among input variables via Scatter Plot Matrix, Bar Plot, and Heatmap
Improved efficiency and accuracy of parameter studies
Better metamodel accuracy
Automated report generation

Automated Data Transformation

Auto-format simulation and test data for downstream analysis

Systematically auto-organize SolidWorks structural/flow simulation parameter study results
Clearly separate input/output parameters for improved readability
Provide min/max values of input and output parameters to support subsequent analysis
Improve the efficiency of downstream analyses (sensitivity analysis, metamodel generation, etc.)
Custom transformation features can be developed for various analysis and test data formats

Correlation and Sensitivity Analysis of Input/Output Parameters

Quantitatively evaluate how design variables drive performance

Pearson correlation analysis between input/output parameters (heatmap visualization)
Sensitivity analysis of input parameters against output parameters
Precisely analyze complex interactions and quantify the impact of specific input variables on performance
Derive the priority of input variables for optimization, leading to accurate design insights
Support data-driven, reliable decision-making
Automatically generate detailed analysis reports → improved work efficiency

Constraint-Based Design Specification Analysis

Automatically derive optimal design candidates satisfying constraints and targets

Search for optimal combinations of design variables that meet user-defined constraints and target performance
Automatically derive design solutions that satisfy both functionality and performance
Efficiently review trade-offs between performance and cost
Improve design quality through decision support and structured analysis
Automated report generation (improves work efficiency)

Metamodel Generation and Output Prediction

High-accuracy prediction models based on Kriging, MLS, and Polynomial Regression

Automatically generate metamodels from parameter study data
Supports Isotropic Kriging / MLS / Polynomial Regression metamodels
Accuracy and error metrics (CoP, RMSE, MAE)
Metamodel residual analysis (Histogram, Q-Q Plot of Residual)
Residual evaluation (Standard Deviation, Mean + 1.5 × Std, Q3 + 1.5 × IQR, etc.)
Improve metamodels by removing residuals
Predict output values as input parameters change
Adaptive Sampling auto-generated from metamodel analysis (improves accuracy)

Constraint-Based Reliability Analysis

Automatically derive safe ranges of design variables for robust design direction

Statistical analysis of Safe/Unsafe scenarios based on constraints
Effective Safe/Unsafe scenario region analysis via visualization charts
Automatically derive the Safe Condition input variable range satisfying constraints → guides design direction
Analyze design variables that satisfy product performance (deriving optimization insights)
Automated report generation (improves work efficiency)

Automated Data Analysis Report Generation

Standardized analysis reports that accelerate collaboration and decisions

Automatically generate analysis reports in formats that are easy to understand and use
Intuitively organize key metrics, graphs, and analysis results for clear communication
Maintain consistent report formats to streamline document creation
Effectively support sharing of analysis results across research and design teams
Reduce time and cost spent on documentation, increasing work efficiency
Reliable analysis reports increase the persuasiveness and accuracy of decisions