Carmakers like Audi, BMW, and General Motors are adopting digital twins to optimize production processes and gain efficiency and cost savings.
By modeling their production lines and machines as digital twins, carmakers can predict and prevent potential failures and optimize maintenance schedules, reducing downtime and costs.
Audi uses Spot, a robotic dog that it developed with NavVis to create a digital twin for future production planning.
- BMW is working with Nvidia’s Omniverse platform to develop digital twins.
- Digital twins can improve product and process development by synchronizing development, allowing manufacturers to identify and solve problems upfront.
- The emerging technology can improve quality by 20%, resource efficiency by up to 40%, and shorten time to market by 20 to 30%.
- By recording and analyzing data from factory equipment, digital twins can improve efficiencies, reduce costs, and predict equipment failures.
- Renault Group aims to save inventory, delivery time, and CO2 emissions by 2025.
- Renault is creating an industrial metaverse process, including data collection and standardization, digital twin creation, tracking of supplier activities, and cloud-based analytics tools.
- Renault aims to have a fully functional metaverse to improve the electric car and powertrains processes within two years.
