Эта статья является препринтом и не была отрецензирована.
О результатах, изложенных в препринтах, не следует сообщать в СМИ как о проверенной информации.
Enhancing Airline Maintenance Efficiency: A KPI-Driven Framework for Production Control
In the rapidly evolving aviation industry, the efficiency, safety, and compliance of airline maintenance operations are paramount. This paper explores the development and application of a Key Performance Indicator (KPI)-driven framework tailored for airline maintenance management. Through a comprehensive methodology encompassing a literature review, expert interviews, and data analysis, the study identifies critical KPIs across various dimensions of maintenance operations, including production planning and control, maintenance and quality control, inventory and supply chain management, cost management, operational efficiency, employee management and training, safety and compliance, and sustainability and environmental impact. Findings reveal that a KPI-driven approach significantly enhances operational efficiency, safety compliance, and cost optimization, supported by real-world case studies. The research contributes to both the theoretical understanding and practical application of KPIs in airline maintenance, offering a strategic tool for Chief Production Control Officers (CPCOs) to achieve operational excellence. The paper concludes with practical recommendations for implementing the KPI framework and suggests directions for future research, emphasizing the need for continuous innovation, adaptation, and strategic oversight in airline maintenance management.
1. Al-Kaabi, H., Potter, A., & Naim, M. (2007). An outsourcing decision model for airlines' MRO activities. Journal of Quality in Maintenance Engineering, 13, 217-227.
2. Baqqal, Y., & Hammoumi, M. (2019). Modelling and Optimization Techniques for Maintenance Systems Using Simulation: a Systematic Literature Review. International Review on Modelling and Simulations (IREMOS).
3. Bekar, E. T., Çakmakci, M., & Kahraman, C. (2016). Fuzzy COPRAS method for performance measurement in total productive maintenance: a comparative analysis. Journal of Business Economics and Management, 17, 663-684.
4. Fedorov, R., & Pavlyuk, D. (2019). Economic Efficiency of Data-Driven Fault Diagnosis and Prognosis Techniques in Maintenance and Repair Organizations.
5. MoghadasNian, S. A. H. (2019a). Guarding the Sky: The Essential KPI Guide for the Continuing Airworthiness Management Organisation Senior Director (CAMOSD) [Digital edition]. Navigating Airworthiness Through Key Performance Metrics and Ensuring Long-term Aviation Safety. Aviation and Tourism Research and Innovation Center (ATRIC).
6. MoghadasNian, S. A. H. (2019b). Keeping the Fleet Airborne: The Essential KPI Guide for the Chief Line Maintenance Officer in the Airline Industry [Digital edition]. Maximizing Efficiency Through Powerful Metrics for Line Maintenance Operations. Aviation and Tourism Research and Innovation Center (ATRIC).
7. MoghadasNian, S. A. H. (2019c). Mastering Maintenance Metrics: The Ultimate KPI Guide for Base Maintenance in the Airline Industry [Digital edition]. Achieving Peak Aircraft Performance: Elevating Maintenance Operations Through Strategic KPI Implementation. Aviation and Tourism Research and Innovation Center (ATRIC).
8. MoghadasNian, S. A. H. (2022). Flight to Excellence: A Comprehensive Guide to Key Performance Indicators in the Airline Industry [Digital edition]. Unlocking Success Through Data-Driven Strategies and Performance Metrics. Aviation and Tourism Research and Innovation Center (ATRIC).
9. MoghadasNian, S. A. H. (2023). Strategica Aeronautica: Mastering KPI-Driven Leadership Across the Airline and Tourism Ecosystem [Digital edition]. A Comprehensive Guide for Executives: From Analytic Hierarchy Process to Zero-Based Budgeting, Navigate the Full Spectrum of Strategic Decision-Making Metrics. Aviation and Tourism Research and Innovation Center (ATRIC).
10. MoghadasNian, S. A. H. (2024). Technological Renaissance in Airline: Pioneering Digital Innovations and Their Global Impact. In Proceedings of the 8th International Conference on Electrical Engineering, Computer Science and Information Technology.
11. MoghadasNian, S. A. H., & Manafi, F. (2024). Revolutionizing Skies: Strategic Digital Innovations in Global Aviation. In Proceedings of the Eighth International Conference on Science and Technology of Electrical, Computer and Mechanical Engineering of Iran.
12. MoghadasNian, S. A. H., Rajol, M., & HosseinZadehShirazi, Z. (2024). AI-Driven Aircraft Maintenance: Enhancing Efficiency, Safety, and Sustainability. In Proceedings of the First National Conference on the Application of Artificial Intelligence in Business Management.
13. Pineda, P., Liou, J., Hsu, C.-C., & Chuang, Y.-C. (2017). An integrated MCDM model for improving airline operational and financial performance. Journal of Air Transport Management, 68, 103-117.
14. Taylor, J. C. (2000). The evolution and effectiveness of Maintenance Resource Management (MRM). International Journal of Industrial Ergonomics, 26, 201-215.
15. Verhulst, T., Judt, D., Lawson, C., Chung, Y. M., Al-Tayawe, O., Ward, G., ... Vrcan, Ž. (2022). Review for State-of-the-Art Health Monitoring Technologies on Airframe Fuel Pumps. International Journal of Prognostics and Health Management.
16. Yazgan, E. (2018). Development taxonomy of human risk factors for corporate sustainability in aviation sector. Aircraft Engineering and Aerospace Technology.
