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Durchschnittliche Lagerdauer

Also: Mittlere Lagerdauer, Verweildauer im Lager, Lagerverweildauer, Durchschnittliche Verweildauer, Lagerdauer

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In brief

The average storage duration indicates how many days an item remains in the warehouse on average before it is retrieved or consumed. It is a key metric for assessing inventory turnover speed and tied-up capital costs.

Key facts

What is the average storage duration?

The average storage duration describes the mean period that a unit of goods spends in the warehouse from the point of receipt to the point of retrieval. It is typically expressed in days and is calculated as the quotient of average inventory and consumption or outflow per unit of time – multiplied by the number of days in the period under review. A high average storage duration indicates that goods are tied up in the warehouse longer than necessary, generating capital costs, storage costs, and in the worst case, loss of value.

How is this metric used in practice?

In operational logistics, the average storage duration is used primarily in three contexts:

  • Inventory controlling: Items with a persistently high storage duration are considered slow-movers and are candidates for assortment rationalization, quantity reductions, or revised replenishment parameters.
  • Purchasing and replenishment planning: Deviations between planned and actual storage duration reveal whether forecasts and order quantities align with actual demand. A systematically excessive storage duration points to over-ordering or overly pessimistic sales forecasts.
  • Warehouse planning: The metric supports the sizing of storage locations and the assignment of warehouse slots. Items with short storage durations can be assigned to fast-moving zones, reducing travel distances and handling effort.

In addition, the average storage duration is frequently compared with inventory turnover. Both metrics are mathematically closely related – inventory turnover is the reciprocal of the storage duration normalized to one year. Meaningful target values vary considerably depending on the industry and product structure; no universally applicable benchmark exists.

What matters when interpreting and managing this metric?

The informative value of the metric depends heavily on how the average is calculated. A simple mean across all items can be distorted by a few outliers. In practice, a segmented analysis by ABC class, product group, or supplier is therefore recommended. The chosen reference base – consumption, outflow, or sales – also influences the result and should be defined consistently across the organization. Seasonal fluctuations, minimum order quantities, and agreed safety stock levels can structurally increase storage duration without indicating poor replenishment planning. These influencing factors should be taken into account when setting targets.

Frequently asked questions

The most common formula is: average inventory divided by consumption or outflow per day. Alternatively, multiply the average inventory by the number of days in the review period and divide by the total outflow during that period. Whichever reference base you use should be defined consistently across the organization.

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