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Dimensionierung

Also: Systemdimensionierung, Lagerauslegung, Kapazitätsauslegung, Kapazitätsplanung Lager, Auslegung

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In brief

Dimensioning refers to the systematic design of warehouse capacities, material handling equipment, and logistics systems based on volume frameworks, throughput requirements, and peak loads. It forms the planning foundation for investment decisions in intralogistics.

Key facts

What is dimensioning in intralogistics?

Dimensioning is the structured process by which warehouses, technology, and capacities are designed to meet the actual operational requirements of a business — neither permanently over-engineered nor too tightly calculated. The basis is volume frameworks: number of SKUs, inventory levels, inbound and outbound volumes, and order structures. Added to this are temporal patterns such as daily, weekly, and seasonal peaks, which must be factored into the design without exception.

How does dimensioning work in practice?

In a typical planning project, dimensioning begins with the analysis of historical movement data. From this, key figures such as picks per hour, pallet throughput per shift, or required storage locations are derived. Scenarios are then developed to reflect different growth paths and service level requirements. Particularly critical factors include:

  • Peak load scenarios: Short high-demand periods — such as seasonal business — can reach multiples of the daily average and must not be underestimated.
  • Safety buffers: Standard practice includes buffers for unplanned inventory peaks, downtime, or ramp-up phases following system changes. The appropriate size of these buffers varies by vendor and industry.
  • Growth assumptions: Whether and how future volume growth is factored in significantly affects investment costs. An overly generous design unnecessarily ties up capital, while an overly tight one forces costly retrofits.

The results of dimensioning feed directly into layouts, tender documents, and the business case. For automated systems such as high-bay warehouses or AutoStore installations, dimensioning also forms the basis for technical specifications provided to system suppliers.

What matters in dimensioning?

The quality and robustness of a dimensioning exercise depend above all on the data foundation. Incomplete or unrepresentative historical records systematically lead to misconfigurations. Equally important is defining the system boundaries: is only the warehouse itself being designed, or are upstream and downstream transport processes included as well? Dimensioning should also not be a one-time exercise — regular reviews, for example when product ranges expand or new sales channels are introduced, are advisable in practice. Software-based simulation tools can help to run through various scenarios quickly, but they do not replace the judgment of experienced planners.

Frequently asked questions

Factors considered include the number of SKUs, inventory quantities, inbound and outbound volumes, and order structures. Particularly important are peak loads, growth assumptions, and planned safety buffers, which can vary depending on the industry and operation.

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