Siemens announced Digital Twin Composer, a software solution for creating digital twin environments that combine industrial AI, simulation and real-time operational data for virtual evaluation and decision support. The software brings together 2D and 3D digital twin data with real-time physical information in a managed, secure visual scene built using NVIDIA Omniverse libraries, and is intended to support ongoing updates across the lifecycle of a product, process or facility.
Digital Twin Composer is designed to provide real-time operational data in a 3D model so companies can visualize and test changes to products, processes or factory layouts before physical design or construction. Use cases include manufacturing facilities, shipyards, vehicle programs and data center projects on new or existing sites.
PepsiCo and Siemens are using the software to create 3D digital twins of select U.S. manufacturing and warehouse facilities to simulate plant operations and the supply chain and establish a performance baseline. Siemens said teams used the models to evaluate and validate configuration changes and to support a consolidated view of operations, with the option to add AI-based capabilities over time.
Using Siemens’ Digital Twin Composer with NVIDIA Omniverse and computer vision, PepsiCo can model equipment, conveyor paths, pallet routes and operator movement and run physics-based simulations to evaluate proposed changes before making physical modifications. PepsiCo said this approach can identify up to 90% of potential issues in advance and has increased throughput by 20% in its initial deployment, while also shortening design cycles, improving design validation and reducing capital expenditures by 10% to 15%.
Many design, engineering and production teams work in separate tools and data systems. Siemens said Digital Twin Composer is intended to bring design, simulation and operations into a single model so engineers can test products, processes and facilities more quickly, validate automation earlier in the project lifecycle and use a shared digital twin for ongoing operations.
Digital Twin Composer is part of Siemens Xcelerator, a portfolio of software used to develop digital twins for product, process and factory design and simulation. The tool connects 3D digital twins built with Siemens Xcelerator to operational data sources such as manufacturing execution systems, quality management systems, PLC code and industrial IoT data. It can also integrate with Siemens data science and AI software, including RapidMiner, and other AI tools to support analysis and real-time monitoring.
For more information, visit siemens.com.
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