Journal of the Korea Safety Management & Science (대한안전경영과학회지)

Korea Safety Management & Science (대한안전경영과학회)
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A Review on Ammunition Shelf-life Prediction Research for Preventing Accidents Caused by Defective Ammunition

불량탄 안전사고 예방을 위한 탄약 수명 예측 연구 리뷰

  • Young-Jin Jung (Department of Industrial Engineering, INHA University) ;
  • Ji-Soo Hong (Department of Industrial Engineering, INHA University) ;
  • Sol-Ip Kim (PGM R&D Institute, Hanwha Aerospace) ;
  • Sung-Woo Kang (Department of Industrial Engineering, INHA University)
  • 정영진 (인하대학교 산업경영공학과) ;
  • 홍지수 (인하대학교 산업경영공학과) ;
  • 김솔잎 (한화에어로스페이스 PGM 연구소) ;
  • 강성우 (인하대학교 산업경영공학과)
  • Received : 2024.03.06
  • Accepted : 2024.03.18
  • Published : 2024.03.30
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Abstract

In order to prevent accidents via defective ammunition, this paper analyzes recent research on ammunition life prediction methodology. This workanalyzes current shelf-life prediction approaches by comparing the pros and cons of physical modeling, accelerated testing, and statistical analysis-based prediction techniques. Physical modeling-based prediction demonstrates its usefulness in understanding the physical properties and interactions of ammunition. Accelerated testing-based prediction is useful in quickly verifying the reliability and safety of ammunition. Additionally, statistical analysis-based prediction is emphasized for its ability to make decisions based on data. This paper aims to contribute to the early detection of defective ammunition by analyzing ammunition life prediction methodology hereby reducing defective ammunition accidents. In order to prepare not only Korean domestic war situation but also the international affairs from Eastern Europe and Mid East countries, it is very important to enhance the stability of organizations using ammunition and reduce costs of potential accidents.

Keywords

Acknowledgement

이 연구는 2022년도 정부(방위사업청)의 재원으로 국방기술진흥연구소의 지원을 받아 수행된 연구임(KRIT-CT-22-081, 무기체계 CBM+특화연구센터).

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