Investigation into Data Mining for Analysis and Optimization of Direct Maintenance Costs in Civil Aircraft Operations
Dublin Core
Title
Investigation into Data Mining for Analysis and Optimization of Direct Maintenance Costs in Civil Aircraft Operations
            Subject
Data Mining, Civil Aircraft, Direct Maintenance Cost
            Description
The maintenance cost of civil aircraft plays a pivotal role in gauging both their maintainability and economic viability, constituting a substantial portion of overall operating expenses. With the burgeoning volume of aircraft operating data, data mining technology emerges as a powerful tool capable of extracting valuable insights. This research addresses the challenge of the limited availability of actual aircraft maintenance data during the developmental phase of civil aircraft. The study delves into the analysis and optimization of direct maintenance costs for civil aircraft through the application of data mining techniques. The investigation encompasses an exploration of the theoretical underpinnings of direct maintenance cost analysis using data mining, a comprehensive analysis of factors influencing the direct maintenance cost derived from data mining, and the establishment of a Direct Maintenance Cost (DMC) analysis method. Building upon this foundation, a model for the direct maintenance cost analysis of civil aircraft is formulated and fine-tuned to achieve the objective of cost reduction. The outcomes of this research hold significant implications for diminishing aircraft life cycle expenses, thereby enhancing the competitiveness of aircraft in the market.
            Creator
Zhe Tian1,*, Zhonghui Lu2, Yakai Lu
            Date
2024
            Contributor
peri irawan
            Format
pdf
            Language
english
            Type
text
            Files
Collection
Citation
Zhe Tian1,*, Zhonghui Lu2, Yakai Lu, “Investigation into Data Mining for Analysis and Optimization of Direct Maintenance Costs in Civil Aircraft Operations,” Repository Horizon University Indonesia, accessed October 31, 2025, https://repository.horizon.ac.id/items/show/9383.