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AI Revolutionizes Plywood Production: Significant Time Savings
VMG Group defeats blockages: Siemens' AI-powered module detects problems.

Other discrete Manufacturing

VMG Group

Vilnius Lithuania

VMG Group
Vilnius,
Lithuania
VMG Group, uniting 20 companies, is a diversified enterprise headquartered in Vilnius, Lithuania and operates across multiple sectors, including furniture and wooden products, engineered wood, robotization and automation, renewable energy and real estate. The Group overall employs more than 3000 people.Website: https://vmg.eu/
Objectives: VMG Group faced frequent veneer dryer jams, causing production stoppages of 2-3 hours weekly, adding up to over 20 days annually. Presence of numerous factors caused data complexity. Detecting and solving problems was slow and difficult without AI. A solution was required for enabling predictive maintenance and anomaly detection, allowing anticipation of equipment malfunctions before they occur.
VMG Group has introduced Siemens AI-powered SIMATIC TM NPU module in its veneer drying machine, which detects potential blockages before they occur. The project was carried out by the VMG Technics company, part of the VMG Group.
The anomaly detection model deployed to NPU module, compatible with the Siemens SIMATIC S7-1500 controller installed in the plywood drying machine, detects irregularities in the motor's current. Thus, emerging blockages can be located early. Based on the collected data, the AI model continuously learns to be a better predictor.
One of the primary applications of AI in our industry is predictive maintenance and anomaly detection, allowing us to anticipate equipment malfunctions before they occur. This helps us avoid costly failures.
Augustas Urbonas, Head of the Computer Vision Team at VMG Technics.
Before the introduction of the AI-based module, the veneer drying machine stopped unplanned several times a week, resulting in a loss of about 10 percent productivity. With the help of the AI module, blockages are detected preventively, enabling quick cleaning measures before serious blockages. This allows cleaning maintenance to be carried out twice as fast.
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