Mitigating Human Error in Civil Aviation: A Cognitive Analysis of Job tasks Using Success Likelihood Index Method (SLIM)

Open Access
Article
Conference Proceedings
Authors: Ucchita SharmaT Bangar Raju

Abstract: Ground Handlers are responsible for managing the critical operations that take place for the airlines and airport. The efficiency and success of the operations are highly dependent on ground handlers and how they can perform the tasks. Any small accident or a minor incident can also result in huge losses in civil aviation. Previous studies show that one of the leading causes of occurrence of accidents or incidents is human error. Therefore, it is necessary to tackle and understand the probability of occurrence of human error, also known as Human error probability (HEP).Purpose of study: The study wishes to understand which tasks amongst the critical ones performed at the airside have higher HEP, and also to identify the factors that are responsible for the same. This is being done because Human error can have an impact on how the individuals perceive the task. The study is therefore studying the factors that impact the cognitive resilience of individuals leading to human error. Methodology: The study uses the Success Likelihood Index Methodology ( SLIM) along with Fuzzy-AHP to calculate the HEP. Ten experts who have had a minimum amount of seven years of experience in managing ground handlers and safety were screened for the data collection process. Conclusion: The study has found that maintenance tasks have a high probability of human error to occur. It was also found that the experience attached to tasks being performed, along with the time constraints and pressure of performing the task efficiently are factors responsible for the human error to occur while performing the tasks. Therefore, it is essential that the organization is able to allocate rosters accordingly and elevate the experience of the tasks that are being performed.

Keywords: Human Error Probability (HEP), Success Likelihood Index Method(SLIM), Civil Aviation

DOI: 10.54941/ahfe1004886

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