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How data discovery enables manufacturers to identify trends that can help in fine-tuning their operations

AU Manufacturing

As the digitisation of the manufacturing sector becomes more prevalent, we are seeing big data collected from machines, robotics, Industrial Internet of Things (IIoT) sensors and other connected equipment in the factory. These large data sets are then analysed to uncover hidden insights and trends.

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Are you prepared for the future of manufacturing?

Control Engineering

Learn how data analytics can help operators to identify production bottlenecks and optimize resource allocation. Learn how robotics technologies can help navigate the labor shortage. Cybersecurity, analytics, MES/ERP integration and robotics are among the key trends shaping the industry’s future.

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ProMat 2023: Intralogistics, software and motion in focus

Control Engineering

Closed-loop digitalization uses data from the real world to create accurate simulations and find and resolve any bottlenecks in design. A robot demonstrated pick-and-place capabilities with a diverse range of products in a bin. A diversity of robots, vision systems and end-of-arm tooling (EoAT) may be used.