Skip to content

Human Factor Analysis about Human Error on Aviation Maintenance

Semantic Scholar · Article · f117c42b04044a9af7c9b050fb722e0ca2a4821f · Published 2018-09-01 · 1 author

Abstract and citation only, verbatim from Semantic Scholar; full text lives there. All credit to the authors and Semantic Scholar.

Abstract

The purpose of this study was to analysis the human factors that contribute to maintenance errors and making corrective actions to eliminate or reduce the probability of future, similar errors. With the help of the human factor theory, through deep analysis and research to maintenance-related aviation accidents and incidents caused by human error, twelve human factors could lead to maintenance errors. Through training and study, AMT (aviation maintenance technician) can understand the interaction between organizational, work group, and individual factors that may lead to errors and accidents, AMTs can learn to prevent or manage them proactively in the future. The research like this is valuable because maintenance errors have safety and economic consequences to the airline industry[1]. Keywords—error; maintenance; communication; fatigue; stress; resource; norms

Author

  • Rong Cheng

Keywords

  • Computer Science
  • Engineering

Citation

Rong Cheng (2018). Human Factor Analysis about Human Error on Aviation Maintenance. Semantic Scholar ID f117c42b04044a9af7c9b050fb722e0ca2a4821f. https://doi.org/10.2991/ICSSHE-18.2018.30 ↗