Production and Logistics

Recent manufacturing facilities have increasingly more sensors and automation units that generate large amounts of data. This creates new opportunities for optimizing the manufacturing process globally. Once accomplished, new business models will emerge and commercialize the acquired data while maintaining confidentiality. Our data-driven methods combine analysis and simulations via digital twins, and our encryption methods enable data exchange between companies. We optimize complex logistical processes while considering millions of marginal conditions.

Pimas
Oliver Pimas

Business Unit Analytics

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