TY - GEN
T1 - IoT-Enabled MRO Intralogistics Management: A Case Study in Hong Kong
AU - Chen, Qiqi
AU - Zhao, Zhiheng
AU - Luo, Hao
AU - Huang, George G.Q.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/8
Y1 - 2023/8
N2 - Aviation maintenance, repair and overhaul intralogistics (MRO intralogistics) is an essential process to ensure the availability and safety of aircraft. This paper proposes an IoT-enabled MRO intralogistics management design to enhance the traceability and visibility of resources and operations. First, the study analyses and establishes the MRO intralogistics process model for well-organising the process. Second, this study proposes a domain model based on Domain-driven Design to simplify IoT-enabled MRO intralogistics management. Third, the work presents the data model and the mechanisms for resource and operation management in MRO intralogistics, showing the simple design to cope with the complex MRO intralogistics. Finally, this study conducts a case study of the proposed IoT-enabled solution in one of the largest MRO organisations to show its benefits.
AB - Aviation maintenance, repair and overhaul intralogistics (MRO intralogistics) is an essential process to ensure the availability and safety of aircraft. This paper proposes an IoT-enabled MRO intralogistics management design to enhance the traceability and visibility of resources and operations. First, the study analyses and establishes the MRO intralogistics process model for well-organising the process. Second, this study proposes a domain model based on Domain-driven Design to simplify IoT-enabled MRO intralogistics management. Third, the work presents the data model and the mechanisms for resource and operation management in MRO intralogistics, showing the simple design to cope with the complex MRO intralogistics. Finally, this study conducts a case study of the proposed IoT-enabled solution in one of the largest MRO organisations to show its benefits.
UR - http://www.scopus.com/inward/record.url?scp=85174409398&partnerID=8YFLogxK
U2 - 10.1109/CASE56687.2023.10260376
DO - 10.1109/CASE56687.2023.10260376
M3 - Conference article published in proceeding or book
AN - SCOPUS:85174409398
T3 - IEEE International Conference on Automation Science and Engineering
SP - e-copy
BT - 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023
PB - IEEE Computer Society
T2 - 19th IEEE International Conference on Automation Science and Engineering, CASE 2023
Y2 - 26 August 2023 through 30 August 2023
ER -