The paper presents a novel decision-making framework for assessing the feasibility of internalizing aircraft component maintenance operations. The framework addresses a critical challenge faced by airlines and maintenance organizations in optimizing their maintenance strategies. By integrating multiple data sources and employing advanced algorithms, the proposed system provides a comprehensive approach to evaluating the potential for in-house component maintenance. The framework incorporates three key elements: a database of potential maintenance service providers, an assessment of component maintenance volumes, and an analysis of required resources. A central algorithm processes this data to evaluate the feasibility of internalizing maintenance for specific components. The study also introduces a financial assessment model to quantify the economic viability of such initiatives. The framework culminates in a tripartite classification system, offering clear guidance on which components are suitable for immediate internalization, which require further study, and which are not recommended for in-house maintenance. This research contributes to the field of aviation maintenance by providing a structured, data-driven approach to strategic decision-making, potentially leading to improved operational efficiency and cost-effectiveness in aircraft maintenance operations.