An association rule-based approach for storing items in an as/rs

Warehouse management activities are critical from an organizational point of view since they can cause a sensitive loss of efficiency. When dealing with automated storage and retrieval systems, the allocation of items to a specific storage cell is a challenging issue since it is the unique modifiable variable due to the constructive characteristics of the warehouse. The vast amount of data available in this field allows the development of policies for an efficient allocation of the items through the development of data mining-based approaches. In this perspective, the current work proposes a roadmap for the allocation of items to the storage cells of an automated storage and retrieval system through the association rule mining. The procedure is, at first, generally described, and, then, applied to the case study of a shoe manufacturer.