Simulation software

managementdesignmodeling

Overview
Virtual Twin solutions on the 3DEXPERIENCE platform combine scientific models, AI and live data to simulate, analyze and optimize products, systems and operations across the manufacturing lifecycle.

What is a Virtual Twin for Manufacturing Industries?
A virtual twin is a dynamic, executable digital replica of a physical asset, system or organization that enables real‑time simulation, predictive analysis and process optimization. It merges engineering models, sensor streams and AI analytics to support decisions from design through end‑of‑life.

Key benefits and capabilities

• Generative and AI‑assisted design to evaluate concepts and optimize performance before production.
• Real‑time simulation and predictive analytics for operational optimization and proactive decision making.
• Full lifecycle coverage: ideation, design, engineering, manufacturing, operations and end‑of‑life planning.
• Integration with IoT and sensor data for continuous performance feedback and model refinement.
• Predictive maintenance via simulated equipment behavior to reduce downtime and extend asset life.
• Sustainability: lifecycle and process optimization to reduce material use and emissions.
• Support for variant testing and flexible manufacturing through virtual configuration trials.

Types of virtual twins

• Product virtual twin: scientific digital replica to simulate product behavior, track lifecycle data and inform engineering decisions.
• Production system virtual twin: end‑to‑end modelling of production lines and supply chains to test scenarios and optimize throughput.
• Organization virtual twin: system‑of‑systems view to analyze value networks, forecast outcomes and improve strategic resilience.

How virtual twins go beyond digital twins
Virtual twins extend digital twins by combining real‑time data with advanced physics‑based simulation and system‑level modeling, enabling prediction, optimization and scenario testing across design, production and operations.

Applications and industry examples
Applicable sectors include automotive, aerospace, electronics, industrial equipment, energy and consumer goods. Use cases include AI‑powered design validation, immersive visualization for collaboration and factory process optimization to improve safety and throughput.

Delivery options and services
Virtual Twin as a Service (VTaaS) and platform deployments provide infrastructure, integration and operational support so manufacturers can deploy virtual twins without managing all components in‑house.

Characteristics / technical specifications

• Brand: Dassault Systèmes
• Platform: 3DEXPERIENCE platform (supports integration of modeling, simulation and information intelligence)
• Core technologies: simulation, modeling, data science, AI, generative AI, real‑time data integration, digital continuity
• Data sources: IoT/sensor streams, operational systems, engineering data, simulation outputs
• Primary capabilities: real‑time simulation, predictive analytics, generative design, scenario testing, predictive maintenance
• Supported industries: automotive, aerospace, electronics, industrial equipment, energy, consumer goods and other manufacturing sectors
• Deployment and services: Virtual Twin as a Service (VTaaS), platform‑based solutions, immersive visualization (mixed/AR) for collaboration
• Main outcomes: improved design quality, reduced time‑to‑market, optimized production systems, lower environmental impact, enhanced operational resilience