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Intelligent manufacturing: The Canadian story

Automation Mag

T he Canadian manufacturing industry is well aware of the importance of embracing artificial intelligence (AI). So, where does Canadian manufacturing stand today? Hudon added that industry leaders should come back to a narrative that makes the definitions and benefits of AI simpler. So, they’re working really hard.

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Ultra-low voltage motor, motor drive industry growth driven by mobile robotics, increased flexibility

Control Engineering

billion by 2027, driven by demand from battery-driven applications and increased flexibility in manufacturing and logistics processes. This growth is being driven by demand from battery driven applications and a need for greater flexibility in manufacturing and logistics processes. between 2022 and 2027. Within the U.S.,

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Breaking the Cycle of Quality Challenges in Aerospace & Defense

iBASEt

Leveraging Model-Based Enterprise and MES for Superior Manufacturing Outcomes Maintaining quality is non-negotiable in high-complexity manufacturing, especially in sectors like aerospace and defense (A&D). Surprisingly, however , not all MES solutions fully embed quality management into their systems, so buyers beware.

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Manufacturing, global economy: Mild 2024 recession

Control Engineering

Offset a mile recession in 2024 and depression in 2030 in part with manufacturing automation. Manufacturing economy insights. Manufacturers can prepare for the future and take charge of the situation rather than letting things happen to them; manufacturing automation is part of the preparation. Learning Objectives.

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Updated PackML standard released

Control Engineering

Manufacturers and machine builders worldwide have implemented the TR88 standard on various control platforms. The latest 2022 revision enhances the ability for manufacturers to implement TR88 on today’s flexible production lines and accommodate the trend towards creating mixed-sku final products.”

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Digital Twins are powerful, and they’re not just for products

iBASEt

There are actually several types of Digital Twins that can be used in manufacturing. Product Twin: Product models capture product definition and lifecycle activity, providing a digital source of as-designed, as-engineered data along with virtual representations of the product. That’s a compelling reason for some manufacturers.

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Automotive lidar’s role growing because of increased use of autonomous vehicles

Control Engineering

Cameras offer color and high-definition images but suffer from poor depth information and can be easily affected by the sun and other poor weather conditions. Why lidar is important for automotive applications Various sensors are essential to enable ADAS and AV systems, including cameras, radars, ultrasonic systems, etc.