Assessing cyber-physical systems to balance maintenance replacement policies and optimise long-run average costs for aircraft assets
| Autor: | Marco Andreacchio, Abdelghani Bekrar, Rachid Benmansour, Damien Trentesaux |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
optimisation
power system reliability maintenance engineering preventive replacement tasks corrective basis beforehand premature asset removal cyber-physical systems approach identified aircraft assets aviation maintenance environment cyber-physical based identification balancing maintenance replacement policies average costs assessing cyber-physical systems Computer engineering. Computer hardware TK7885-7895 Electronic computers. Computer science QA75.5-76.95 |
| Zdroj: | IET Cyber-Physical Systems (2018) |
| Druh dokumentu: | article |
| ISSN: | 2398-3396 |
| DOI: | 10.1049/iet-cps.2018.5038 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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