A blockchain-based system to enhance aircraft parts traceability and trackability for inventory management

To Sum George Ho, Yuk Ming Tang, Kun Yat Tsang, Valerie Tang, Ka Yin Chau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

132 Citations (Scopus)

Abstract

Aircraft spare parts inventory management (ASPM) has played a critical role in tracing and tracking spare parts as any related maintenance or movement shall be recorded. Traceability and trackability of data ensure the compliance of airworthiness requirements. The International Air Transport Association (IATA) has strongly emphasised the significance of quality traceability data throughout the aircraft part's life cycle, leading to enhanced inventory control accuracy, reduced maintenance error, and effective decision-making processes. However, with the rapid increase of spare parts types, the complexity of aircraft parts multi-stage supply chains leads to inefficient tracing and tracking operations with unsatisfactory traceability data quality and information security. This paper proposed a blockchain-based system that provided a managerial platform for accurate recording of spare parts traceability data with organisational consensus and validation using Hyperledger Fabric and Hyperledger Composer. A data model has been determined based on the existing ASPM, enabling information integrity during transaction operations. The channel mechanism has yielded a trustful data sharing platform between each contracting organisation for logistics and operational arrangements, which has enhanced information visibility and security. The blockchain-based system, executed under a decentralised ledger mechanism, shall improve the quality of traceability data and reliable information sharing within the spare parts supply chain. The enhanced blockchain-based inventory management system can establish the digital twin of aviation as part of Industry 4.0 in the future.

Original languageEnglish
Article number115101
Number of pages15
JournalExpert Systems with Applications
Volume179
DOIs
Publication statusPublished - 1 Oct 2021

Keywords

  • Aircraft spare parts
  • Aviation
  • Blockchain
  • Digital twin
  • Hyperledger
  • Inventory management
  • Traceability
  • Trackability

ASJC Scopus subject areas

  • General Engineering
  • Computer Science Applications
  • Artificial Intelligence

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