Abstract
Aircraft maintenance development is connected directly to aircraft technology, and today, in a field characterized by being fast-growing and innovative, technology has become a crucial asset for operation and process optimization. The maintenance industry must adapt to the continuous aircraft changes, which can also be well visible in the technology roadmap of aircraft development. The air transportation sector is aiming to reach higher safety levels, which can only be achieved by minimizing the risk of human-based errors. Additionally, the stakeholders expect cost reduction and higher market share. With the start of the Industry 4.0 revolution, new possibilities for data analysis, evaluation, and decision-making algorithms are being explored and investigated. It is well observed that Artificial Intelligence (AI) is present in most of the research work conducted in this field. AI can influence the daily workflow for companies working in the field of Maintenance, Repair, and Overhaul (MRO) as well as the machine-human synergy and cooperation. Hence, the present paper aims to introduce and discuss the possibilities of AI application in aircraft maintenance, its contribution, and its influence on the industry.
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Abbreviations
- AI:
-
Artificial Intelligence
- ANN:
-
Artificial Neural Network
- BA:
-
Business Analytics
- CBR:
-
Case-Based Reasoning
- FL:
-
Fuzzy Logic
- IT:
-
Information Technology
- KBS:
-
Knowledge-Based Systems
- MRO:
-
Maintenance, Repair, and Overhaul
- NN:
-
Neural Network
- USD:
-
United States Dollars
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Ichou, S., Veress, Á., Rohács, D. (2024). Outline the Possible Application of Artificial Intelligence in the Aircraft MRO Process Development. In: Karakoc, T.H., et al. Novel Techniques in Maintenance, Repair, and Overhaul. ISATECH 2022. Sustainable Aviation. Springer, Cham. https://doi.org/10.1007/978-3-031-42041-2_3
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