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MES for Metal Processing

The MES for Metal Processing from SYMESTIC delivers real-time transparency for energy-intensive and quality-critical metal production. It monitors melting, forming, machining, and heat-treatment processes with high precision and supports manufacturers in reducing energy consumption, stabilizing quality, and preventing unplanned downtime.

Trusted by Warmpresswerk, Nidec, and BITO, the system combines cloud-native MES technology with more than 20 years of deep automation expertise.

MES for Metal Processing
MES for Metal Processing

Metal-Specific Challenges Mastered

Metal processing requires exact control over every step of production. Energy usage is extremely high, and even small deviations in temperature, pressure, or timing can lead to defects, scrap, or costly rework. Manufacturers must maintain stable processes, meet strict requirements for mechanical properties, and document all relevant quality data.

At the same time, fluctuating energy prices and peak-load risks demand continuous monitoring to keep costs predictable. SYMESTIC provides full visibility into consumption, process behavior, and quality trends, enabling metal producers to react faster and run processes more efficiently.

SYMESTIC: Purpose-Built for Metal Processing

SYMESTIC offers a cloud-native MES platform that supports metal manufacturers with accurate process data, energy monitoring, and automated quality control. It helps teams detect deviations early, avoid failures in furnaces and presses, and ensure consistent part quality across batches.

Energy consumption can be tracked down to the individual component, providing a clear basis for audits and optimization. With predictive maintenance powered by live process data, critical equipment such as furnaces, presses, and machining centers can be monitored continuously, reducing downtime and increasing throughput.

The result is higher stability, lower energy costs, and a more efficient shop floor.

MES for Metal Processing

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Start digitizing your production today.

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