Using the executable digital twin to support manufacturing decisions

The executable digital twin (xDT) is a self-contained smart, connected virtual representation of a physical asset that models its behaviors and combines them with physical data to provide augmented information.

Watch this webinar and learn to:

• Build full fidelity real-time models used for operations insight
• Use the full-fidelity model to create virtual sensors capable of using operational data
• Deploy xDTs on different industrial applications like a robotic arm, district water systems, and other machines

The executable digital twin can self-update and calibrate to reflect performance changes in the physical system as it evolves during the lifecycle.

The executable digital twin improves the flow of data

The executable digital twin (xDT) eliminates the barriers preventing simulation information from flowing across the product lifecycle.

With newfound access to high-fidelity design information during operations, plant operators and facilities gain valuable insights into machine operation and status.

Watch this webinar and discover how digital twins can be facilitated beyond product engineering to support manufacturing decisions.

Machine builders can improve energy efficiency, increase throughput, enhance quality, and reduce waste by leveraging the executable digital twin across the design, production, and service phases.

The true value of the executable digital twin

The executable digital twin (xDT) can be deployed throughout the entire product lifecycle, which creates a major shift in how models are used in design, manufacturing and operation.

Once created, the xDT can be used for a range of purposes:

• Model-based system testing (XiL)
• Smart virtual sensing
• In-service diagnosis and analysis
• Production process optimization

By using simulation modeling to watch real-time operations, machine builders and equipment manufacturers can make more informed decisions.