Transactions on Machine Intelligence

Transactions on Machine Intelligence

Strategic Enhancement of Airline Maintenance Operations A KPI-Driven Approach for the Chief Line Maintenance Officer

Document Type : Original Article

Authors
1 Tarbiat Modares University, Tehran, Iran
2 Islamic Azad University،Science and Research Branch, Tehran, Iran
Abstract
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.
Keywords

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Volume 7, Issue 4
Autumn 2024
Pages 276-285

  • Receive Date 02 September 2024
  • Revise Date 17 September 2024
  • Accept Date 18 November 2024