The Siemens Electronics Factory in Erlangen leverages IT/OT convergence to enhance productivity by 4% and improve sustainability. Key strategies include using AI to reduce manual inspection efforts by 60%, achieving a 70% drop in ventilation power consumption, and employing the Mendix low-code platform for rapid innovation. Significant reductions in downtime and improved quality control processes mark its continual progress in manufacturing optimization.
The Siemens Electronics Factory in Erlangen exemplifies effective IT/OT convergence, leading to increased productivity and sustainability in manufacturing processes. By analyzing production data, the factory has improved the availability of coating machines, yielding a 4% productivity increase. This optimization results from utilizing data to assess machine operations and rectify bottlenecks in real time.
The implementation of artificial intelligence significantly reduces manual inspection efforts in the Surface Mount Technology (SMT) production process. AI-driven algorithms improve the automatic optical inspection (AOI) accuracy by identifying and minimizing false calls, effectively decreasing unnecessary manual labor by 60%.
A notable result of IT/OT convergence is the enhanced energy efficiency within the factory. The ventilation system’s power consumption has been reduced by 70%, thanks to the integration of data analytics and operational insights. This improvement underscores the potential for sustainable manufacturing through intelligent resource management.
Utilizing the Mendix low-code platform, the Electronics Factory can rapidly validate innovative ideas through plug-and-play solutions, establishing essential data connectivity via Industrial Edge devices. This flexibility allows for real-time evaluations of operations, enabling effective daily production management and achieving continuous improvements.
The factory employs a closed-loop vision to optimize processes, particularly by managing cleaning rates in solder paste printing. By leveraging real-time data, the factory adjusts cleaning frequencies dynamically. This method balances the need to maintain quality while minimizing downtime, showcasing how data-driven decisions enhance operational efficiency.
The integration of automatic optical inspection (AOI) further streamlines quality control processes. AI solutions manage component defects more efficiently, allowing for timely ejection and reducing the workload on operators. By categorizing 60% of false calls correctly, AI improves production flow and reduces unnecessary inspections.
Siemens Xcelerator has played a crucial role in unlocking unused production potential by enabling data extraction and analysis. With 60 connected production systems and the identification of key improvement areas, the factory has reduced average fault durations significantly,
The Siemens Electronics Factory Erlangen highlights several core technologies that facilitate these advancements, including Digital Twins, which continuously optimize products and processes, and the Industrial Metaverse, which blends real and digital worlds to enhance manufacturing outcomes. The integration of Artificial Intelligence throughout the processes amplifies quality and operational efficiency, ultimately contributing to reduced carbon footprints and enhanced productivity.
Original Source: www.siemens.com
