Open AccessAssessing cyber‐physical systems to balance maintenance replacement policies and optimise long‐run average costs for aircraft assets
Author(s) -
Andreacchio Marco,
Bekrar Abdelghani,
Benmansour Rachid,
Trentesaux Damien
Publication year - 2019
Publication title -
iet cyber‐physical systems: theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 7
ISSN - 2398-3396
DOI - 10.1049/iet-cps.2018.5038
Subject(s) - asset (computer security) , reliability (semiconductor) , risk analysis (engineering) , preventive maintenance , asset management , aviation , identification (biology) , population , reliability engineering , operations management , engineering , computer science , business , computer security , finance , power (physics) , physics , botany , demography , quantum mechanics , aerospace engineering , sociology , biology
Many aircraft assets are subject to both preventive (scheduled) and corrective (unscheduled) replacement policies to ensure adequate levels of reliability and availability. The problem, particularly for assets that exist in large quantities, is that preventive replacement tasks often involve removing the entire population of assets from the aircraft, regardless of whether any assets were previously replaced on a corrective basis beforehand. To avoid the costs associated with premature asset removal, this study assesses the use of a cyber‐physical systems approach to the management of identified aircraft assets. This approach builds on an industrial architecture that has been implemented and deployed in the aviation maintenance environment. This study outlines how the cyber‐physical based identification of assets can facilitate balancing maintenance replacement policies to optimise long‐run average costs per unit time. A mathematical model is proposed, and the suggested approach is validated using industrial data.