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Automatisierung

Also: Lagerautomatisierung, Intralogistik-Automatisierung, automatisierter Lagerbetrieb, Warehouse Automation, Automatisierung Lager

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In brief

Automation refers to the use of technologies and systems to execute processes fully or partially without human intervention. In intralogistics, the spectrum ranges from simple conveyor systems to fully automated high-bay warehouses with autonomous vehicles.

Key facts

What is automation in intralogistics?

Automation describes the systematic use of machinery, control software, and sensor technology to replace or support manual activities. There is no black-and-white distinction here: between purely manual work and fully automated operation without staff, there exists a broad gray zone of partially automated solutions. Typical examples include conveyor technology, automated small-parts warehouses (AS/RS), automated guided vehicles (AGV/AMR), automated high-bay warehouses, and robot-assisted picking.

An important distinction exists between mechanical automation, which handles physical movements, and informational automation, in which software independently makes decisions such as slotting, order assignment, or replenishment triggering. In modern systems, both levels are closely intertwined.

How does automation work in practice?

An automation project typically begins with a process analysis: which workflows are stable, repetitive, and available in sufficient volume to justify automation economically? System components are then selected, integrated, and connected via interfaces — often through APIs or EDI — to WMS, ERP, and higher-level control systems.

  • Partial automation: Individual steps such as labeling, sorting, or storage are supported by machinery, with humans and machines working together.
  • Full automation: Complete process flows run without operator intervention, for example in an automated high-bay warehouse with connected conveyor technology and automatic picking.
  • Autonomous systems: AMRs and AI-supported robots respond flexibly to changes in their environment and do not require fixed travel paths.

Control is handled via warehouse control systems (WCS) or directly within the WMS, which coordinates storage location management, order control, and machine communication.

What matters when making a selection?

The decision in favor of an automation solution depends on several factors that must be evaluated individually. Blanket recommendations are difficult here, because volume, product structure, seasonality, and available floor space vary considerably.

  • Process stability: Automation works best with standardized, highly predictable workflows. A high degree of variety or frequent assortment changes significantly increase complexity.
  • Flexibility and scalability: Some systems can be expanded modularly, while others are difficult to adapt after commissioning. This should be clearly addressed in the requirements specification.
  • Integration capability: Existing IT landscapes must be compatible. Missing or poor interfaces are a common stumbling block in practice.
  • Maintenance and availability: Automated systems require professional technical service. Downtime directly impacts throughput performance.
  • Economic viability: ROI depends on capital costs, labor costs, error rates, and throughput improvements. A robust business case calculation is essential before any decision is made.
Frequently asked questions

There is no universal threshold, as automation depends on product structure, available space, and labor costs. As a guideline: the higher the volume of similar picks and the more stable the processes, the more likely an investment will pay off. A carefully prepared business case is essential in every situation.

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