Optimizing Aviation Operation Integrating Predictive Maintenance, Flight Delay Analysis, and Customer Satisfaction Strategies
Abstract & Details
Research Area
Computer Engineering
Keywords
Machine learning algorithms
XGBoost
AdaBoost
Random Forest
data-driven approaches
flight delays
aviation operations
Abstract
This paper presents an implementation-focused survey meticulously exploring predictive flight delay analysis, aviation maintenance practices, and their impact on customer satisfaction. satisfaction. By delving into state-of-the-art methodologies and technological trends, the study critically assesses the landscape of forecasting flight delays and optimizing maintenance procedures. Moreover, it systematically identifies gaps in existing literature, providing nuanced insights into areas ripe for further research and innovation. With a focus on practical applications and innovative models, the survey serves as a valuable guide for implementing these techniques in real-world scenarios. Aimed at researchers, practitioners, and aviation industry stakeholders, this paper offers essential insights for overcoming challenges associated with flight delays and enhancing overall aviation efficiency. By synthesizing diverse findings, it bridges academic research with practical implementation, facilitating efforts to improve operational efficiency and elevate customer satisfaction.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Saranya Krishna | Dayananda Sagar Academy of Technology and Management |
| 2 | Supriya RK | Dayananda Sagar Academy of Technology and Management |
| 3 | Alaina Aanam | Dayananda Sagar Academy of Technology and Management |
| 4 | Kaavya SV | Dayananda Sagar Academy of Technology and Management |
| 5 | Anshika Kakani | Dayananda Sagar Academy of Technology and Management |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Krishna, Saranya, RK, Supriya, Aanam, Alaina, SV, Kaavya, & Kakani, Anshika (2024). Optimizing Aviation Operation Integrating Predictive Maintenance, Flight Delay Analysis, and Customer Satisfaction Strategies. International Journal of Advance Research and Innovative Ideas In Education, 10(2), 4893-4903.
MLA Style
Krishna, Saranya, et al. "Optimizing Aviation Operation Integrating Predictive Maintenance, Flight Delay Analysis, and Customer Satisfaction Strategies." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, 2024, pp. 4893-4903.
IEEE Style
Saranya Krishna, Supriya RK, Alaina Aanam, Kaavya SV, and Anshika Kakani, "Optimizing Aviation Operation Integrating Predictive Maintenance, Flight Delay Analysis, and Customer Satisfaction Strategies," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 2, pp. 4893-4903, 2024.
Vancouver Style
Krishna Saranya, RK Supriya, Aanam Alaina, SV Kaavya, Kakani Anshika. Optimizing Aviation Operation Integrating Predictive Maintenance, Flight Delay Analysis, and Customer Satisfaction Strategies. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(2):4893-4903.
Harvard Style
Krishna, Saranya, RK, Supriya, Aanam, Alaina, SV, Kaavya, & Kakani, Anshika (2024) 'Optimizing Aviation Operation Integrating Predictive Maintenance, Flight Delay Analysis, and Customer Satisfaction Strategies', International Journal of Advance Research and Innovative Ideas In Education, 10(2), pp. 4893-4903.
Chicago Style
Krishna, Saranya, et al. "Optimizing Aviation Operation Integrating Predictive Maintenance, Flight Delay Analysis, and Customer Satisfaction Strategies." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 4893-4903.
Turabian Style
Krishna, Saranya, et al. "Optimizing Aviation Operation Integrating Predictive Maintenance, Flight Delay Analysis, and Customer Satisfaction Strategies." International Journal of Advance Research and Innovative Ideas In Education 10, no. 2 (2024): 4893-4903.
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