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Case Studies
Implementation of Machine365.Ai at a Copper Pipe and Fitting Manufacturer
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Problems to be solved : Rising energy costs and increasing inefficiency in equipment management


Reduced cost competitiveness and challenging equipment failure prediction
Due to the energy-intensive nature of the copper pipe manufacturing process, continuously rising energy costs have been a major factor in declining profitability. Additionally, it was difficult to accurately monitor energy consumption and operational status for each piece of equipment, leading to repeated inefficient operations and the inability to detect potential equipment anomalies in advance, which in turn caused production disruptions and increased maintenance costs.


Problem Solving : Implementation of an Efficient Energy Management System Based on Real-Time Data


Current sensors were installed on key production equipment and distribution panels to transmit real-time power usage data to a cloud platform, providing a visual representation of energy consumption. Through process-specific energy consumption analysis and equipment operation pattern analysis, energy waste factors were clearly identified, and improvement measures were proposed. Additionally, based on historical data, potential equipment anomalies were predicted and alerts were issued, enabling proactive maintenance.


Benefits of Implementation : Cost Reduction and Establishment of a Stable Production Environment


Maximize Energy Savings, Boost Equipment Efficiency, and Enable Predictive Maintenance”
Through 3View FEMS, energy costs are expected to be reduced, and productivity is anticipated to improve through data-driven efficient equipment management. Implementing energy-efficient operations and a predictive maintenance system will minimize production downtime caused by equipment failures and, in the long term, contribute to lower maintenance costs and extended equipment lifespan. Ultimately, this will positively impact cost competitiveness and the establishment of a stable production environment.

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