Remove Artificial Intelligence Remove Overall Equipment Effectiveness (OEE) Remove Supply Chain
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4 ways robotics, AI will transform industry in 2024

Robotics Business Review

The emergence of artificial intelligence (AI) technologies, including generative AI, captured global attention and dominated headlines. This transition is a strategic necessity, supporting the shift towards high-volume, high-mix production, resilient supply chains, competitive data utilization, and sustainability goals.

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Four Robotic Predictions for 2024: AI set to supercharge robotic automation

Gary Mintchell

The emergence of artificial intelligence (AI) technologies, such as generative AI, captured global attention and dominated headlines. This transition is a strategic necessity, supporting the shift towards high-volume, high-mix production, resilient supply chains, competitive data utilization, and sustainability goals.

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Leveraging data for manufacturing efficiency: Insights from Hugo Lafontaine of Schneider Electric

Automation Mag

While in manufacturing we are looking at a high level of operational, supply chain and customer/market data, the most valuable type of data will depend on the situation of a particular manufacturer. Additionally, supply chain data allows manufacturers to better manage inventory and improve end-to-end logistics.

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Universal Robots Shares Four Predictions for 2024: AI Set to Supercharge Robotic Automation

Fabricating & Metal Work

The emergence of artificial intelligence (AI) technologies, such as generative AI, captured global attention and dominated headlines. This transition is a strategic necessity, supporting the shift towards high-volume, high-mix production, resilient supply chains, competitive data utilization, and sustainability goals.

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Is Industry 4.0, smart manufacturing working for you?

Control Engineering

Popular examples include overall equipment effectiveness (OEE), quality, flexibility and even innovation. The scope typically includes the entire manufacturing value chain including product design and development, production planning, supply chain management, production, quality control and distribution.

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Building on analytics foundations to improve operations

Control Engineering

Analytics are going to be a key driver for manufacturers looking to get the most productivity and insight from their operations as they deal with supply chain and labor shortages. This model represents a fundamental shift, introducing artificial intelligence (AI), analytics and advanced robotics into traditional manufacturing.