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SMT007-June2025

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Implement a Factory-level Analytics Platform An analytics platform is the central hub for all factor y data, collecting and corre- lating information from pick-and-place machines, AOI systems, and other equip- ment. is provides real-time insights into production performance, defect rates, and material consumption. Connectivity Software (SW) and Centralized Data Storage Multiple companies provide solutions tai- lored to the data collection of machines speaking different "languages." By outputting machine data through third-party vendor- agnostic connectivity solutions, manufactur- ers can transmit data to a centralized platform, where line-level key performance indicators (KPIs) and overall equipment effectiveness (OEE) data can be calculated and displayed. For example, if a pick-and-place machine con- sistently misplaces a certain type of compo- nent, connectivity SW can correlate that with AOI defect data and recommend adjustments automatically. Deploy AI-driven Predictive Analytics Integrating data allows for predictive ana- lytics, enabling manufacturers to foresee problems. For example, AI-driven analyt- ics can detect slight variations in component placement accuracy over time, indicating that a pick-and-place nozzle or vision system is degrading. Instead of waiting for a machine failure or a spike in defect rates, the system can recommend preventive maintenance, ensuring continuous accuracy and reducing production stoppages. Enable Real-time Machine Communication Using machine-to-machine (M2M) com- munication, different systems can adjust pro- cesses automatically based on data inputs. For example, if an SPI machine detects excess solder paste, it can send an immediate alert to adjust the stencil printing parameters before defects occur. Standardize Data Formats A challenge in integrating machine data is the variety of formats used by different man- ufacturers. Standardization efforts, such as IPC's connected factory exchange (CFX), help create a common language for elec- tronics manufacturing equipment, allowing seamless data sharing. JUNE 2025 I SMT007 MAGAZINE 71

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