Warehouse Operation Scheduling Platform Based on Digital Twin

In the context of the global digital revolution, the current stage of warehouse scheduling operations still faces nu-merous challenges, such as inefficiency, high costs, and difficulties in real-time management. Combining digital twinning provides a viable solution for intelligent warehouse management. Therefore, based on digital twinning, this paper designs a scheduling plat-form framework for Multi-autonomous mobile robots (M-AMRs) dispatching and explores the data fusion and virtual-physical interaction of AMRs in warehouse environments. Subsequently, integrating warehouse map information with the CBS algorithm forms an adaptive conflict-based search planning, and on this basis, a data-driven task scheduling model is constructed to achieve efficient control of scheduling operations. Finally, the effectiveness of the design platform is validated through the execution of complete virtual task instances, demonstrating the feasibility of the proposed approach.