Looking into the future with Predictive Maintenance
The starting point
Haribo is iconic: the sweets from this family-owned company based in Bonn are beloved around the world. To ensure that Goldbears and more reach customers reliably across the globe, Haribo’s logistics hub in Grafschaft plays a crucial role.
The system provides more than 92,000 pallet storage locations in a 40 meter-high high-bay warehouse equipped with 22 storage and retrieval machines and 2.6 kilometers of conveyor technology, all controlled by the WAMAS® logistics software. It’s a complex system that must run smoothly at all times. This is ensured by an experienced SSI SCHAEFER Resident Maintenance team directly on site.
But Haribo also knows: to remain a leading player in a highly competitive market, every second counts in logistics. Unplanned downtime must be avoided, maintenance times reduced, and overall system efficiency further increased. To achieve this, the confectionery manufacturer is now relying on predictive maintenance.
The Solution
The main focus is on the goods-in area—because breakdowns here can quickly disrupt the entire material flow. Instead of rigid intervals, inspections and maintenance are now carried out based on actual needs: operational data from the conveyor system is captured in real time, collected via Siemens Edge Devices, and transferred to the WAMAS Maintenance Center.
AI-powered machine learning algorithms analyze this data along with statistical thresholds and global cloud data. This makes it possible to detect anomalies and wear at an early stage and resolve issues before they arise. Haribo benefits from maximum availability, clear maintenance priorities, and more efficient use of resources.
