The study demonstrates a digital twin to optimize material handling in machining cells, indicating enhanced integration of storage systems and robots.
As industrial automation advances, the integration of storage and material handling systems becomes essential for achieving seamless material flow. This study proposes a digital twin (DT) implementation for a material handling flow that combines a shuttle-based automated storage and retrieval system (AS/RS) with autonomous mobile robots (AMRs). The P4R asset description was extended to represent the properties and behaviours of the shuttle-based AS/RS, as well as their interaction with AMR-based material handling flows. Based on this structure, a DT was developed to replicate the complete material handling operations and to verify the consistency and applicability of the proposed asset description. This approach enables structured and synchronised modelling of shuttle-based AS/RS and AMR operations, integrating their material handling processes within a unified asset description and DT for machining cells.
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Jang et al. (2026) studied this question.
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