3DCS Variation Analyst for CREO is a fully integrated tolerance analysis solution within PTC CREO CAD software. It simulates product assembly and part tolerance 3D stack-ups using Monte Carlo, Equation-Based, and High-Low-Median (Sensitivity) Analysis. Activated as a workbench in CREO, it provides insights into product quality through metrics like Cp, percent out of specification, and range of variation. These analyses help identify risks of product failure and pinpoint sources of variation.

Features

• PMI – Validate and Optimize GD&T
• Uses embedded GD&T (PMI) from CAD to instantly tolerance parts. Simulate builds to validate tolerances, optimize for cost and quality, and push updates back to CAD.
• Perceived Quality Visualization
• Create life-like images showing worst-case scenarios to assess visual impact. Helps determine maximum and minimum tolerances and improve perceived and build quality.
• Root Cause Analysis
• Identify variation sources in part tolerances or assembly processes. Simulate iterative changes to find optimal conditions for quality improvement without costly tolerance adjustments.
• Reporting & Measurement Plans
• Generate detailed engineering and management reports. Create CAD-linked measurement plans for production monitoring and control.
• Digital Twin Simulation
• Simulate fixtures, tooling, and multi-stage assemblies to analyze manufacturing processes and their impact on variation.
• GeoFactor Analysis
• Understand the geometric relationship between tolerances and overall assembly quality. Analyze the multiplicative effect of geometry on dimensional variation.

Benefits

• Accelerated Modeling
• Build analysis models faster using embedded GD&T and push-button CAD import.
• Cost Reduction
• Improve quality without changing tolerances, reducing scrap and rework.
• Improved Product Quality
• Visualize worst-case scenarios to enhance both perceived and build quality.
• Efficient Collaboration
• Communicate results across teams with detailed reports and measurement plans.
• Design Optimization
• Use simulation to refine designs for maximum quality and minimum cost.
• Process Insight
• Identify whether variation stems from part tolerances or assembly processes for targeted improvements.