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http://dx.doi.org/10.12985/ksaa.2021.29.2.014

Predicting Human Errors in Landing Situations of Aircraft by Using SHERPA  

Choi, Jae-Riｍ (국방기술품질원)
Han, Hyeok Jae (광주산학융합원)
Ham, Dong-Han (전남대학교 산업공학과)
Publication Information
Journal of the Korean Society for Aviation and Aeronautics / v.29, no.2, 2021 , pp. 14-24 More about this Journal
Abstract
This study aims to examine probable human errors when landing an airplane by the use of SHERPA(systematic human error reduction and prediction approach) and propose methods for preventing the predictive human errors. It has been reported that human errors are concerned with a lot of accidents or incidents of an airplane. It is significant to predict presumable human errors, particularly in the operation mode of human-automation interaction, and attempt to reduce the likelihood of predicted human error. By referring to task procedures and interviewing domain experts, we analyzed airplane landing task by using HTA(hierarchical task analysis) method. In total, 6 sub-tasks and 19 operations were identified from the task analysis. SHERPA method was used for predicting probable human error types for each task. As a result, we identified 31 human errors and predicted their occurrence probability and criticality. Based on them, we suggested a set of methods for minimizing the probability of the predicted human errors. From this study, it can be said that SHERPA can be effectively used for predicting probable human error types in the context of human-automation interaction needed for navigating an airplane.
Keywords
Human Error; Human Reliability; SHERPA; Risk Assessment; Task Analysis; Cognitive Task Analysis;
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