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<p>Commercial aviation accidents and incidents result in severe human casualties and excessive financial losses. Therefore, aviation management is continually seeking new approaches to improve safety and reduce accidents. The analytical methods are reliable tools that can use historical data to identify causes and recommend solutions to prevent future events. This research investigates the accidents and serious incidents in Iran’s commercial aviation industry, including 46 cases from 1979 to 2021. Using statistical methods, relevant factors such as errors, failures, and causes across human, machine, environmental, and organizational/managerial aspects are identified. To analyze and prioritize error and failure factors, the Failure Mode and Effects Analysis (FMEA) method and criticality analysis are used. In addition, two Multi-Attribute Decision Making (MADM) techniques, the Combined Compromise Solution and the Technique for Order Performance by Similarity to Ideal Solution, are applied to improve the findings and the resulting ranking. The most critical failures and errors are presented, along with several recommendations for safety and system management based on the research findings. The results showed that fracture of the torsion link component, disregard of instructions and inappropriate actions by the flight crew, failure of the landing gear system, failure of the engines and loss of power, and pilots’ fatigue are the most critical influencing factors (failure modes) in accidents and serious incidents. Also, the lack of cockpit resource management (CRM) is determined as the most frequent factor in the statistical evaluations.</p>

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FMEA-based analysis of aviation accidents using MCDM approaches: a case study

  • 期刊论文

  • 发表日期：

    2026年2月12日

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  • Amirhossein Nosrati Malekjahan,
  • Ali Husseinzadeh Kashan,
  • Bakhtiar Ostadi,
  • Reza Maihami

摘要

Commercial aviation accidents and incidents result in severe human casualties and excessive financial losses. Therefore, aviation management is continually seeking new approaches to improve safety and reduce accidents. The analytical methods are reliable tools that can use historical data to identify causes and recommend solutions to prevent future events. This research investigates the accidents and serious incidents in Iran’s commercial aviation industry, including 46 cases from 1979 to 2021. Using statistical methods, relevant factors such as errors, failures, and causes across human, machine, environmental, and organizational/managerial aspects are identified. To analyze and prioritize error and failure factors, the Failure Mode and Effects Analysis (FMEA) method and criticality analysis are used. In addition, two Multi-Attribute Decision Making (MADM) techniques, the Combined Compromise Solution and the Technique for Order Performance by Similarity to Ideal Solution, are applied to improve the findings and the resulting ranking. The most critical failures and errors are presented, along with several recommendations for safety and system management based on the research findings. The results showed that fracture of the torsion link component, disregard of instructions and inappropriate actions by the flight crew, failure of the landing gear system, failure of the engines and loss of power, and pilots’ fatigue are the most critical influencing factors (failure modes) in accidents and serious incidents. Also, the lack of cockpit resource management (CRM) is determined as the most frequent factor in the statistical evaluations.