
Renault, a French manufacturer of automobiles, has declared that it is already operating an industrial metaverse of its operations, powered by a number of procedures that enable it to track data from all of its production lines. This industrial reality involves connecting production lines, keeping an eye on the entire supply chain, and controlling practically all supply flows.
The car-maker says that implementing this technology will have a significant positive impact, including projected savings of $320 million by 2025. The company claims that the industrial metaverse will enable it to cut delivery times and its carbon footprint of vehicle manufacture in half. Renault’s predicts that this move will also lower warranty costs by 60%.
An executive from Renault named Jose Vicente de Los Mozos lauded the Metaverse for offering real-time monitoring that improves the supply chain, production quality, and industrial operations’ agility and flexibility.
Renault’s digital twin system, which creates virtual versions of its industrial facilities and factories, supports its metaverse. Then, data streams from the same factories and production lines that have been fitted with a large recording system called ID@scale. Some components of ID@scale have detected 300 alarms and it has already helped preventing 300 production line halts.
Currently, 8,500 pieces of equipment are connected, 90% of supply flows are continuously monitored, and 100% of supply chain data is stored in the Renault Group Metaverse. Every factory in the virtual world has a duplicate of it. The Supply Chain has its own digitised universe, similar to the factories. It is a crucial component of the commercial Metaverse, and a control tower oversees it in real time.
The utility of digital twins is enhanced by quality data, sales projections, supplier information and external data like road traffic and weather.
Vice President of Industry Strategy and Engineering Patrice Haettel said that for the benefit of people and the environment, the metaverse would enable them to engage efficiency and performance levers that were previously hidden.