딥러닝 기반 항공안전관리시스템 예측모델 개발

• 영문명: Development of Prediction Model for Aviation Safety Management System Based on Deep Learning
• 발행기관: 한국IT서비스학회
• 저자명: 최지헌(Jihun Choi) 권혁준(Hyukjun Kwon)
• 간행물 정보: 『한국IT서비스학회지』제24권 제5호, 75~83쪽, 전체 9쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2025.10.30

국문 초록

This study was conducted with the aim of improving the safety performance of the aviation safety management system. The aviation safety management system is developing into a system that preemptively prevents risks through future predictions. In order to perform safety performance efficiently, data-based on D3M decision-making and Forecasting methodology that can predict the future must be applied. This study reflects the future-oriented paradigm of the aviation safety management system and intends to contribute to maintaining and developing aviation safety. The basis for the current SPI calculation method is not clear, and the SPI system by frequency analysis is limited to be used in aviation safety indicators with complex causal relationships and needs improvement. The reason is that the paradigm of the approach is shifting to a predictive method, and the development of an advanced form of SPI system is required.

목차

1. 서론

2. 이론적 배경

3. 자료수집 및 결과분석

4. 결론

참고문헌

키워드

Safety Management System(SMS) Safety Performance Indciator(SPI) Data Driven Decision Making(D3M) Causal Loop Diagram(CLD)