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The Industrial Metaverse concept posits real-time coordination across distributed operations, yet the infrastructure specifications required to deliver operational value remain unquantified. We introduce the Coordination-Aware Disruption Twin (CADT), an agent-based simulation frame-work that isolates the effects of visibility scope, synchronization latency, and data fidelity. Through a full factorial experiment and baseline comparisons (1,440 runs across two topologies), we demonstrate that Metaverse-grade coordination, when paired with visibility-aware ordering (VAOH), re-duces cumulative backlog by 85.3% relative to the best-performing baseline. Traditional dashboards, which offer identical visibility but higher latency, achieve a 47% reduction. A key finding is that latency explains 67.6% of performance variance (η2 = 0.676), while sensor noise explains effectively none (η2 0.001, p 0.05). A noisy real-time Meta-verse (σ = 0.2) outperforms a perfect-fidelity but delayed dashboard. These results suggest that for sup-ply chain resilience, the Metaverse’s primary value lies not in visualization fidelity but in the speed of state synchronization, serving as a low-latency control plane for distributed decision-making.
Ouardi et al. (Thu,) studied this question.