Blockchain-Enabled Traceability and Risk Control in Engineering Supply Chain Systems

Abstract

Engineering supply chain systems in sectors such as construction, aerospace, automotive, and energy infrastructure face escalating pressures from globalization, just-in-time production, and stringent regulatory demands. Conventional centralized traceability solutions often fail to provide end-to-end visibility, leaving critical projects vulnerable to counterfeit components, schedule disruptions, and cascading financial losses. This paper presents a system-level investigation of blockchain-enabled traceability and risk control, focusing on how distributed ledger architectures can fundamentally reshape information flow, verification logic, and interorganizational trust. We examine the architectural choices that govern scalability, privacy, and interoperability, including the trade-offs between permissionless and permissioned chain models, hybrid off-chain storage designs, and smart contract-based risk management automata. The governance dimension is explored in depth, addressing consortium formation, consensus protocol selection, and the alignment of on-chain rules with legal and regulatory frameworks. Infrastructure considerations such as integration with Internet of Things sensor networks, energy consumption, and latency constraints are analyzed as boundary conditions for real-world deployment. Through an interdisciplinary lens, we discuss deployment pathways that account for legacy system inertia, stakeholder power asymmetries, and the need for phased socio-technical transition. Fairness and sustainability outcomes are evaluated, including the risk of exacerbating digital divides among small suppliers, the environmental footprint of consensus mechanisms, and the long-term policy implications of immutable liability records. The paper contributes a structured framework for assessing blockchain adoption not merely as a technical upgrade but as an institutional intervention that must be co-designed with organizational processes, regulatory bodies, and standards communities. We argue that the value of blockchain in engineering supply chains resides less in the technology per se and more in the design of governing protocols that determine how traceability data translates into actionable risk intelligence across federated, multi-tier networks.