Start your engines with next-level data processing

The combined effects of a shifting regulatory landscape, evolving customer requirements as well as ongoing supply chain issues are testing conventional automotive manufacturing. However, the industry has proven itself to be agile and as a result, resilient. For example, it is one of the most automated sectors, having invested heavily in digital technologies over the past decades. Thanks to this forward-looking approach and its existing infrastructures, the automotive value chain can benefit from a privileged position when it comes to upgrading its capabilities to support a changing marketplace.

Already featuring state-of-the-art industrial automation applications, such as robotised production lines, car manufacturing and assembly plants can incorporate additional innovative digital technologies to further enhance performance, flexibility and sustainability. Real-time data are key, as explained by Lucas Majewski, who identifies their potential to advance nearly every aspect of automotive production. In effect, industry players can use them to gain intelligence on machines and manufacturing lines, supporting more effective decision making as well as automated responses, for instance, through predictive maintenance and process adjustments.

The ability to generate and analyse data in real-time can also help companies have a comprehensive overview of energy use and carbon footprint. This insight, in turn, can support the implementation of activities aimed at reducing electricity costs as well as emissions, unlocking more effective and eco-friendly operations, in line with business and customer demands as well as new regulations.

To watch the full interview with Lucas Majewski about “Trends in Automotive – Data means Energy” Videocast and learn more about data-driven automotive production, visit: https://emea.mitsubishielectric.com/fa/service/podcasts/trends-in-automotive-production

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