Transactions on Machine Intelligence 2821-1693 7 4 2024 12 01 Strategic Enhancement of Airline Maintenance Operations A KPI-Driven Approach for the Chief Line Maintenance Officer 276 285 213997 10.47176/TMI.2024.276 EN S.A. Moghadasnian Tarbiat Modares University, Tehran, Iran N. Sarvi Islamic Azad University،Science and Research Branch, Tehran, Iran Journal Article 2024 09 02 This study investigates the pivotal role of Key Performance Indicators (KPIs) in strengthening and transforming airline maintenance operations, with particular emphasis on the strategic functions and leadership responsibilities of the Chief Line Maintenance Officer (CLMO). Employing a mixed-methods research design, the paper systematically examines critical dimensions including operational efficiency, regulatory and safety compliance, maintenance quality, financial and cost performance, employee engagement, workforce productivity, and the integration of advanced technologies such as digital monitoring and predictive maintenance tools. The results highlight how a well-structured, KPI-driven management framework can significantly enhance not only the efficiency and safety of airline maintenance processes but also the overall cost-effectiveness, decision-making, and long-term sustainability of operations. Moreover, the study sheds light on the organizational and cultural factors that affect the successful adoption of KPI-based strategies, underscoring the importance of leadership commitment, cross-functional collaboration, continuous improvement, and data-driven decision-making. By providing a detailed and adaptable framework, this paper offers valuable insights for both academic researchers and industry practitioners seeking to optimize aviation maintenance practices in an increasingly competitive and technologically complex environment. The findings contribute to the broader discourse on performance management and strategic leadership in the aviation sector, paving the way for future research and practical advancements. https://www.tmachineintelligence.ir/article_213997_1927f55bd606ebe61cf9536996b070e1.pdf