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6 mistakes manufacturers are still making but can’t afford to

Plataine

In today’s complex-manufacturing competitive landscape there’s no room to make critical mistakes. Following over a decade of close collaborations with top discrete manufacturing players, we’ve come to know and learn to spot some of the most widespread mistakes.

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Hot Control Engineering machine and process safety articles in 2023

Control Engineering

Control Engineering most-viewed articles online about machine and process safety stories published in the last year include stories on electrical safety for machines, removing IT/OT barriers, edge machine safety solutions and more. Also: See additional machine safety and process safety stories.

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Hot Control Engineering robotics articles in 2023

Control Engineering

Control Engineering top 5 articles online about industrial robot trends, logistics and robotics, what to look for in an integration partner and more. Six industrial robotics trends for 2023 Robotics are becoming more important and manufacturers are recognizing their growing role in many different industries and applications.

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Hot Control Engineering discrete and process sensing articles in 2023

Control Engineering

Control Engineering most-viewed articles online about discrete and process sensors published in the last year include stories on inertial measurement unit sensors, sensors used for information systems and more. Also: See additional discrete sensor and process sensor stories.

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Hot Control Engineering motors and drives articles in 2022

Control Engineering

Control Engineering top 5 articles online about motors and drives posted over the last year covered VFDs, pulse width modulation, permanent magnet motors and more. The post Hot Control Engineering motors and drives articles in 2022 appeared first on Control Engineering. Also: See additional motor and drive stories here.

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AI in manufacturing: Where it’s been and where it’s going

Control Engineering

Manufacturing AI insights The integration of AI into discrete manufacturing aligns with the concept of Industry 4.0, The future of AI in manufacturing will be able to help with machine learning algorithms to reduce downtime, improve efficiency and extend equipment lifecycles.

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How robotics-as-a-service can help manufacturers with operations challenges

Control Engineering

Robotics-as-a-service (RaaS) offers a cost-effective solution for companies to implement automation, with lower upfront costs and faster ROI compared to traditional manufacturing methods. There’s a buzz around manufacturing and automation, but it’s not as widespread as you might think, but we need automation. There is no way out.”

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