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Renault Launches its Industrial Metaverse

15 November 2022
in Latest News, News
Reading Time: 2 mins read
102 6
Home News Latest News

Renault, one of the world’s largest automobile companies, has announced that it is operating an industrial metaverse of its activities, powered by a number of procedures that enable it to track data from all of its production lines. 

This industrial world involves connecting production lines, keeping an eye on the entire supply chain, and controlling practically all supply flows.

According to the company, implementing this technology will result in significant benefits, including $330 million in savings by 2025.

EVP of the Renault industry group and head of Iberia, Jose Vicente de Los Mozos, stated,

“Every day, billions of pieces of data are collected within Groupe Renault’s industrial sites. The metaverse provides real-time monitoring that increases the agility and adaptability of industrial operations, as well as the quality of production and the supply chain.”

Renault’s metaverse is fed by a system based on digital twins, which are virtual replicas of the company’s factories and production lines. The system is then provided with data streams from the same facilities and manufacturing lines that have been supplied with a massive data capture solution called ID@scale, which is currently being made available to other companies.

Vice President of Industry Strategy and Engineering Patrice Haettel stated:

“This industrial metaverse is unique and allows us to activate efficiency and performance levers that were previously invisible, for the benefit of people and the environment.”

Due to the ability of some of its components to identify 300 alerts and avoid 300 production line shutdowns, this system has already helped to protect the company’s manufacturing process.

 

If you would like to read more news articles like this, visit DeFi Planet and follow us on Twitter, LinkedIn, Facebook, and Instagram.

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Favour is a writer, who is interested in blockchain, DeFi, and Web3 in general. She finds machine learning and emerging technologies interesting.

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