Research Article

Operational Resilience in the Industrial Metaverse: Quantifying the Infrastructure Requirements for Low-Latency Supply Chain Coordination

Number: 6 July 2, 2026

Operational Resilience in the Industrial Metaverse: Quantifying the Infrastructure Requirements for Low-Latency Supply Chain Coordination

Abstract

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.

Keywords

Ethical Statement

In this article, the principles of scientific research and publication ethics were followed. This study did not involve human or animal subjects and did not require additional ethics committee approval.

Thanks

We thank the Faculty of Science at Abdelmalek Essaadi University for institutional support.

References

  1. Christopher, M., & Peck, H. (2004). Building the resilient supply chain. The International Journal of Logistics Management, 15 (2), 1–4. doi:10.1108/09574090410700275
  2. Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103 (2), 451–488. doi:10.1016/j.ijpe.2005.12.006
  3. Ivanov, D., & Dolgui, A. (2021). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 32 (9), 775–788. doi:10.1080/09537287.2020.1768450
  4. Ivanov, D., & Dolgui, A. (2020). Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. International Journal of Production Research, 58 (10), 2904–2915. doi:10.1080/00207543.2020.1750727
  5. Scholten, K., & Schilder, S. (2015). The role of collaboration in supply chain resilience. Supply Chain Management: An International Journal, 20(4), 471–484. doi:10.1108/SCM-11-2014-0386
  6. Sadeghi, K., Azadegan, A., & Ojha, D. (2023). A path to build supply chain cyber-resilience through absorptive capacity and visibility: Two empirical studies. Industrial Marketing Management, 111, 202–215. doi:10.1016/j.indmarman.2023.04.001
  7. Wang, R. Y., & Strong, D. M. (1996). Beyond Accuracy: What Data Quality Means to Data Consumers. Journal of Management Information Systems, 12(4), 5–33. doi:10.1080/07421222.1996.11518099
  8. Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M.M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., Conboy, K., Doyle, R., Dubey, R., Dutot, V., Felix, R., Goyal, D. P., Gustafsson, A., Hinsch, C., Jebabli, I., Janssen, M., Kim, Y.-G., Kim, J., Koos, S., Kreps, D., Kshetri, N., Kumar, V., Ooi, K.-B., Papagiannidis, S., Pappas, I. O., Polyviou, A., Park, S.-M., Pandey, N., Queiroz, M. M., Raman, R., Rauschnabel, P. A., Shirish, A., Sigala, M., Spanaki, K., Tan, G. W.-H., Tiwari, M. K., Viglia, G., & Wamba, S. F. (2022). Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 66, 102542. doi:10.1016/j.ijinfomgt.2022.102542

Details

Primary Language

English

Subjects

Modelling and Simulation

Journal Section

Research Article

Publication Date

July 2, 2026

Submission Date

February 25, 2026

Acceptance Date

June 18, 2026

Published in Issue

Year 2026 Number: 6

APA
El Ouardi, A., & Abdoun, O. (2026). Operational Resilience in the Industrial Metaverse: Quantifying the Infrastructure Requirements for Low-Latency Supply Chain Coordination. Journal of Metaverse, 6, 144-156. https://izlik.org/JA52DS89HA
AMA
1.El Ouardi A, Abdoun O. Operational Resilience in the Industrial Metaverse: Quantifying the Infrastructure Requirements for Low-Latency Supply Chain Coordination. JMv. 2026;(6):144-156. https://izlik.org/JA52DS89HA
Chicago
El Ouardi, Ayoub, and Otman Abdoun. 2026. “Operational Resilience in the Industrial Metaverse: Quantifying the Infrastructure Requirements for Low-Latency Supply Chain Coordination”. Journal of Metaverse, nos. 6: 144-56. https://izlik.org/JA52DS89HA.
EndNote
El Ouardi A, Abdoun O (July 1, 2026) Operational Resilience in the Industrial Metaverse: Quantifying the Infrastructure Requirements for Low-Latency Supply Chain Coordination. Journal of Metaverse 6 144–156.
IEEE
[1]A. El Ouardi and O. Abdoun, “Operational Resilience in the Industrial Metaverse: Quantifying the Infrastructure Requirements for Low-Latency Supply Chain Coordination”, JMv, no. 6, pp. 144–156, July 2026, [Online]. Available: https://izlik.org/JA52DS89HA
ISNAD
El Ouardi, Ayoub - Abdoun, Otman. “Operational Resilience in the Industrial Metaverse: Quantifying the Infrastructure Requirements for Low-Latency Supply Chain Coordination”. Journal of Metaverse. 6 (July 1, 2026): 144-156. https://izlik.org/JA52DS89HA.
JAMA
1.El Ouardi A, Abdoun O. Operational Resilience in the Industrial Metaverse: Quantifying the Infrastructure Requirements for Low-Latency Supply Chain Coordination. JMv. 2026;:144–156.
MLA
El Ouardi, Ayoub, and Otman Abdoun. “Operational Resilience in the Industrial Metaverse: Quantifying the Infrastructure Requirements for Low-Latency Supply Chain Coordination”. Journal of Metaverse, no. 6, July 2026, pp. 144-56, https://izlik.org/JA52DS89HA.
Vancouver
1.Ayoub El Ouardi, Otman Abdoun. Operational Resilience in the Industrial Metaverse: Quantifying the Infrastructure Requirements for Low-Latency Supply Chain Coordination. JMv [Internet]. 2026 Jul. 1;(6):144-56. Available from: https://izlik.org/JA52DS89HA

Journal of Metaverse
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