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Taking a dynamic approach to safety

Control Engineering

A third scenario example looks at process optimization, where operational downtime and bottlenecks may not pose a risk to humans, property and the environment, but they can affect system performance. This necessitates a digital or virtual representation of the physical manufacturing system, using digital twins and asset administration shells.

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Learn about bridging the gap from edge to cloud MES to make automation more effective

Control Engineering

Scalability is vital in smart manufacturing solutions and it encompasses the ability to handle data growth, expand IO, devices, clients, services and functionality. This is important for manufacturers who want to be able to grow their business without having to replace their existing MES system.

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How to organize, protect and apply big data in automation

Control Engineering

When rolling out AI-enabled machine vision to automate inspection processes, manufacturers drive quality improvement initiatives with an eye toward improving production yield, increasing process efficiency, and reducing costs. What is big data?

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Manufacturing in America 2023: Digitalization, automation, sustainability, productivity

Control Engineering

and smart manufacturing to ensure small and mid-sized manufacturers can prepare for and participate in a more competitive supply chain. Removing cost, risks, and supply chain bottlenecks can help increase profitability more quickly.