Industrial Logistics and Automated Storage

The cooperation addresses the operational challenge of consolidating wholesale and retail distribution for electrical and construction-related products within a single facility. Implementing this infrastructure requires combined expertise in automated miniload systems, narrow-aisle trucks, and proprietary warehouse management software, necessitating joint planning between the two firms.

Integrated Technical Architecture and Responsibilities
Jungheinrich contributed its automated miniload warehouse infrastructure, stacker cranes, container conveyor systems, and the Jungheinrich Warehouse Management System. The system functions by integrating automated container storage with manual narrow-aisle, pallet, and cantilever racking via a unified software control layer, allowing synchronized order processing across diverse product dimensions.

Greenfield Deployment and Implementation Phases
Deployment is taking place at the new greenfield logistics centre in Debrecen, Hungary, with scheduled operational commissioning at the end of 2027. Implementation involves coordinating automated miniload aisles with specialized material handling equipment, including high-lift narrow-aisle trucks and multi-directional reach trucks configured during the installation phase.

Application Areas and Operational Benefits
Target industries include wholesale and retail electrical distribution, where managing high-density small parts alongside oversized long goods requires strict inventory tracking. The technical configuration eliminates handling bottlenecks between bulk storage and picking stations, resulting in standardized workflows and enhanced space utilization across the site.

System Performance Parameters and Impact
Performance metrics from the installation design outline a storage capacity exceeding 60,000 container locations within a 1,500-square-metre miniload footprint standing 14.5 metres high. These parameters ensure deterministic inventory management and continuous two-shift operation under high-throughput conditions.

Edited by Sucithra Mani, Induportals editor – adapted by AI.

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