New Laser Welding Process Monitoring Systems Ensure Data Traceability
Ensuring seamless laser weld quality control and manufacturing traceability, the monitors catch weld errors as they occur in real time, instead of reacting to defects downstream. This ultimately increases yield, improves quality, saves labor, and increases savings.
Retrofitting Legacy Equipment
Here Jonathan Wilkins, director at EU Automation, discusses the issues and solutions surrounding retrofitting legacy equipment with smart technology.
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Using AI to Collect & Leverage Data
Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.
