BMW Group scales Virtual Factory digital twins to cut production planning costs by up to 30 percent
BMW Group · Germany
BMW Group is industrialising its Virtual Factory, with production planners continuously scaling applications in digital twins of over 30 production sites built on NVIDIA Omniverse. Automated collision checks for new vehicle models that once took almost four weeks of real-world testing now take three days to simulate virtually, and production planning costs are projected to fall by up to 30 percent.
Overview
BMW Group is industrialising its Virtual Factory, with production planners continuously scaling applications in digital twins of over 30 production sites built on NVIDIA Omniverse. Automated collision checks for new vehicle models that once took almost four weeks of real-world testing now take three days to simulate virtually, and production planning costs are projected to fall by up to 30 percent.
This entry has 10 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
For every vehicle launch, BMW must verify that the new product fits on the production line and does not collide with its surroundings at any point; the BMW Group will integrate more than 40 new or updated vehicles into its global production between now and 2027, requiring immediate stability at the plants for each launch.
The solution
The BMW Group is industrialising its Virtual Factory, with production planners continuously scaling applications in digital twins of over 30 production sites built on NVIDIA Omniverse, as a core element of the BMW Group iFACTORY. Intelligent linking of building data, equipment data, logistics data, vehicle data and 3D simulation of manual work processes creates digital twins of all BMW Group plants worldwide, enabling real-time simulation and virtual optimisation of layouts, robotics and logistics systems. Collision checks for new vehicle models use construction data combined with 3D scans to precisely simulate the movement and rotation of a vehicle through the production lines and automatically check for possible collisions. The Virtual Factory is continuously expanding to incorporate generative and agentic AI functionalities and assistants, and now also includes human simulation to optimise manual production steps and automated identification of maps of the surroundings from existing 3D scans for smart transport systems.
Reported business value
What now takes just three days to simulate virtually previously required almost four weeks of real testing, which in the paint shop sometimes required completely emptying and cleaning the dip coating tanks. The BMW Group's Virtual Factory is projected to reduce production planning costs by up to 30 percent.
Sources
Open any source and check the claim yourself — that is the point of the register.
Other automotive entries in the register.
Volvo Trucks uses proprietary AI models to power adaptive maintenance in its Blue Service Contract
Volvo Trucks North America upgraded its Blue Service Contract to offer optimized service stops based on fuel consumption, idle time and oil samples, powered by the OEM's proprietary AI models, enabling fewer stops for 2023 model year and newer trucks and reducing operating costs for customers.
BMW Group builds plant-scale digital twins with NVIDIA Omniverse, cutting vehicle aerodynamics simulation time 30x
BMW Group is building digital twins of its production facilities using NVIDIA Omniverse libraries, letting global production planning teams collaborate in real time, optimize the layout and design of complex manufacturing systems, and develop autonomous robot and vision AI applications prior to real-world deployment. Working with Siemens, BMW is also accelerating simulation of vehicle aerodynamics: tests on NVIDIA Grace Blackwell and CUDA-X-accelerated Simcenter Star-CCM+ software showed a 30x speedup for transient aerodynamics simulations of entire vehicle geometries, while reducing energy consumption and costs.
General Motors uses AI for digital twins, battery leak detection, and weld/paint inspection in manufacturing
GM builds in-house AI solutions used across its manufacturing facilities: digital twins that simulate a running production line before it's constructed, AI/machine learning that quickly and accurately pinpoints potential leaks in battery packs, and a combination of robotics and a proprietary AI tool that inspects welds and paint coats to identify irregularities and anomalies.
F.02 Contributed to the Production of 30,000 Cars at BMW
Figure deployed its Figure 02 humanoid robot at BMW Group Plant Spartanburg for an 11-month trial performing sheet-metal loading on an active assembly line, running 10-hour shifts Monday-Friday. Over the deployment, the robot loaded 90,000+ parts, logged 1,250+ hours of runtime, and contributed to the production of 30,000+ X3 vehicles, with a target cycle time of 84 seconds and placement accuracy goal of 99% per shift.
Was this helpful?
Your feedback helps us improve our use case database