Published March 14, 2024 | Version v1
Journal article Open

Advancing Airworthiness Assurance in Airlines A KPI-Driven Framework for CAMO Excellence

Authors/Creators

  • 1. Tarbiat Modares University
  • 2. ROR icon Sharif University of Technology

Description

This study evaluates the effectiveness of Key Performance Indicator (KPI)-driven strategies in aviation maintenance within Continuing Airworthiness Management Organizations (CAMO). By transitioning from traditional to proactive maintenance approaches, the research explores the adoption, impact, and challenges of KPIs in improving operational efficiency and regulatory compliance. Utilizing a mixed-methods approach, findings indicate enhanced maintenance outcomes and underscore the importance of advanced analytics and strategic KPI alignment. Recommendations for optimizing CAMO practices and future research directions are provided.

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Additional details

Additional titles

Alternative title (Persian)
پیشبرد تضمین صلاحیت پرواز در شرکت های هواپیمایی: چارچوبی مبتنی بر شاخص‌های کلیدی عملکرد برای تعالی سازمان مدیریت تداوم صلاحیت پروازی

Identifiers

URL
https://www.researchgate.net/publication/378204151_Advancing_Airworthiness_Assurance_in_Airlines_A_KPI-Driven_Framework_for_CAMO_Excellence
URL
https://www.academia.edu/125247316/Advancing_Airworthiness_Assurance_in_Airlines_A_KPI_Driven_Framework_for_CAMO_Excellence

References

  • Muchiri, P., Pintelon, L., Martin, H., & De Meyer, A. (2010). Empirical analysis of maintenance performance measurement in Belgian industries. International Journal of Production Research, 48(17), 5905-5924.
  • Ng, K., Tang, M., & Lee, C. K. M. (2015). Design and development of a performance evaluation system for the aircraft maintenance industry. 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 564-568.
  • Gonçalves, C. D. F., Dias, J. M., & Machado, V. (2015). Multi-criteria decision methodology for selecting maintenance key performance indicators. International Journal of Management Science and Engineering Management, 10(3), 215-223.
  • Al Tabash, K., Barradah, A., & Al-Shaikh, R. (2014). Empirical Utilization Analysis for High Performance and Grid Computing. 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, 392-398.