Going further in Industry 4.0 thanks to machine learning and artificial intelligence is the Renault group’s objective. To achieve this, the carmaker announced a partnership with Google Cloud on July 9. At the heart of this agreement: accelerating the digitalization of the group’s plants and supply chain by sharing their industrial and technological experience, notably through a training program aimed at developing the digital skills of Renault group employees.
Digitizing plants and designing new industrial solutions
A recognized player in the 4.0 industry, since 2016 the Renault group has been developing its own digital platform for connecting and aggregating industrial data from 22 of the Group’s sites worldwide (representing 76% of vehicle production) and more than 2,500 machines. This new partnership with Google Cloud aims, among other things, to optimize this industrial data management platform, which remains the property of the Renault group.
Google Cloud solutions and its experience in smart analytics, machine learning and artificial intelligence will enable the Renault group to improve the efficiency of its supply chain and manufacturing, the quality of its production, and reduce its environmental impact through energy savings.
Beyond that, this collaboration will promote the design and development of new solutions that could ultimately benefit the entire automotive sector.
Developing digital skills
Employee training is also an essential part of this new partnership. Thus, Renault Group and Google Cloud plan to set up a unique and scalable program aimed at strengthening the skills of the Renault Group’s process engineering, manufacturing and IT teams through coworking, training and empowerment sessions with the Google team.
The aim of this program is to strengthen the data culture within the Renault group, which is now an essential part of daily working life, both in terms of operational and decision-making processes.
Translated from Industrie 4.0 : Partenariat entre Renault et Google Cloud sur la digitalisation des usines et de la chaîne logistique
