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http://dx.doi.org/10.9766/KIMST.2022.25.1.082

Analysis of Trends for Weapon System Accidents Using Social Network Analysis  

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)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.25, no.1, 2022 , pp. 82-95 More about this Journal
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
Defense; Weapon System; Accidents; System Safety; Social Network Analysis;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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