Cryptographic Provenance for Resilient Factory Operationsand Manufacturing Value Chains

Main article

Wei Zhang
School of Computer Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
Hong Liang
Department of Industrial Engineering, Shandong University of Science and Technology, Qingdao 266590, China
Jianguo Li*
College of Information Engineering, Yangzhou University, Yangzhou 225127, China
jgli@yzu.edu.cn

DOI: https://doi.org/10.63646/HBTN4211

Abstract

The escalating complexity of modern manufacturing ecosystems, combined with increasing threats from counterfeiting, tampering, and multi-tier supply chain disruptions, demands robust mechanisms for establishing and verifying the origin and transformation history of manufactured goods and production events. This paper introduces a comprehensive framework for cryptographic provenance in factory operations and manufacturing value chains, addressing the critical need for tamper-evident, verifiable records across heterogeneous industrial networks. The proposed architecture integrates hash-linked Provenance Record Objects (PROs), asymmetric cryptographic signatures based on ECDSA P-256 and Dilithium post-quantum primitives, and a permissioned distributed ledger to create immutable provenance chains for manufacturing artifacts and production processes. A smart-contract-driven automation layer enforces quality standards, triggers compliance alerts, and orchestrates cross-organizational data sharing without exposing proprietary manufacturing intelligence. A detailed performance evaluation conducted across simulated multi-factory scenarios demonstrates that the proposed system achieves throughput of up to 1,240 transactions per second with sub-second finality under standard operational conditions, representing a 47.1% improvement over VeChain and a 212.3% improvement over Ethereum PoA baselines. Resilience analysis confirms that the system maintains data integrity and operational continuity even when up to 33% of participating nodes experience simultaneous failure. Experimental results confirm 100% falsification detection across 250 simulated attack scenarios and zero data loss under 80 network-partition events. The findings establish that cryptographic provenance mechanisms are both technically feasible and operationally viable for large-scale deployment in contemporary manufacturing environments, with substantial implications for product authenticity, regulatory compliance, and supply chain resilience.

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How to Cite

Zhang, W., Liang, H. ., & Li, J. (2026). Cryptographic Provenance for Resilient Factory Operationsand Manufacturing Value Chains. Journal of Intelligent Industrial Convergence, 116-132. https://doi.org/10.63646/HBTN4211