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Analysis of Trends for Weapon System Accidents Using Social Network Analysis

사회 연결망 분석을 활용한 무기체계 안전사고 동향 분석

  • Kang, Eonbi (Department of Industrial and Systems Engineering, Gyeongsang National University) ;
  • Park, Sanghyun (Defense Industry Development Support Team, Korea Research Institute for defense Technology Planning and Advancement) ;
  • Kwon, Kiseok (Department of Public Policy, Hanbat National University) ;
  • Jeon, Jeonghwan (Department of Industrial and Systems Engineering, Gyeongsang National University)
  • 강언비 (경상국립대학교 산업시스템공학부) ;
  • 박상현 (국방기술진흥연구소 방산지원운영팀) ;
  • 권기석 (한밭대학교 공공행정학과) ;
  • 전정환 (경상국립대학교 산업시스템공학부)
  • Received : 2021.07.30
  • Accepted : 2021.11.19
  • Published : 2022.02.05

Abstract

Since military weapon accidents or breakdowns are directly linked to enormous damage, it is important to analyze the causes of weapons system accidents. Recently, in the defense sector, there have been cases in which budget has been saved through analysis of the causes of frequent breakdowns and improvement activities that have occurred in the process of operating weapon systems since 2015. But due to the nature of the defense sector, it is not easy to collect data and studies on weapons system accidents have been insufficient so far. Therefore, this study aims to investigate the causes and types of military weapon accidents by collecting military weapon accident data for military weapon systems and analyzing trends by weapon system classification through the analysis process. It analyzes statistically and visually through social network analysis, NodeXL. It is expected that this study will help improve the stability of the weapon system by reducing the number of military weapon accidents and failures.

Keywords

Acknowledgement

이 논문은 2017년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(2017R1D1A3B03034060). 또한 이 성과는 2019년도 정부(과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 구임(No. 2019R1A2C1090655).

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