Cluster

In intralogistics, a cluster refers to a group of different items that have a common characteristic or similarity. These items are often grouped together in order to handle and pick them more efficiently. A well-known example of clustering is set picking, where items that are often picked together are staged close together.

Clustering plays an important role in picking, the process of assembling goods for an order. By analyzing picking data and applying cluster analysis techniques, warehouse managers can identify items that are frequently ordered together and physically arrange them to make them more accessible. This enables pickers to process orders faster and more efficiently.

A typical example of a cluster in order picking is bolts, nuts and washers, which are often used together in a set. By providing these items in close proximity to each other, pickers can quickly find and assemble the items, reducing order processing time and increasing productivity.

Clustering can also be applied to other areas of intralogistics, including warehouse organization and inventory management. By grouping similar or related items together, stock levels can be managed more efficiently and bottlenecks avoided.

Overall, clustering is an important concept in intralogistics that helps to increase the efficiency and productivity of warehouse and picking processes. By arranging items in a targeted manner, warehouse managers and pickers can save time and ensure that orders are processed smoothly.