🤖 AI Summary
This study addresses the challenges posed by fragmented aircraft maintenance records, which hinder verification and create information asymmetry, thereby impairing residual value assessments. To resolve this, the authors propose a blockchain-based two-layer decentralized architecture that integrates FAA electronic record standards, stores maintenance data off-chain via IPFS, and anchors content identifiers (CIDs) on the BNB Smart Chain to enable efficient and traceable record management. Implemented on the BNB testnet, the system achieves O(1) on-chain operational complexity per record and reduces gas consumption by 93.9%. Economic modeling further demonstrates that tamper-proof records can lower audit costs by over 90%, substantially enhancing the accuracy of residual value evaluations and overall operational efficiency.
📝 Abstract
Aircraft maintenance records are critical to airworthiness and asset valuation, yet they are often fragmented across stakeholders, creating verification bottlenecks and information asymmetry that may suppress aircraft residual value. This paper proposes a blockchain-anchored decentralized application (dApp) based on a dual-layer architecture that combines InterPlanetary File System (IPFS)-based off-chain storage with on-chain anchoring of Content Identifiers (CIDs) and selected metadata. With respect to off-chain file size, the on-chain payload per record remains $\mathcal{O}(1)$, compared with $\mathcal{O}(n)$ for direct on-chain file storage. The architecture incorporates metadata and traceability controls informed by Federal Aviation Administration (FAA) electronic recordkeeping guidance. The main contribution is an economic framework that models the relationship between tamper-evident maintenance-record provenance, audit workflow duration, aircraft residual value, and operational cost. In a 7-kB experiment conducted on the BNB Smart Chain testnet, CID anchoring reduced gas consumption by 93.9\% compared with direct on-chain storage. Under explicitly stated scenario assumptions, the audit-cost model indicates potential savings of more than 90\%. These results support the technical feasibility of the prototype and illustrate its economic potential, while the estimated financial benefits remain to be validated using operational data.