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.

1. 서 론
2. 물리적 모델링 기반 예측
    2.1 물리적 모델링 특성, 장단점 및 향후 과제
3. 가속 시험 기반 예측
    3.1 가속 시험 특성, 장단점 및 향후 과제
4. 통계적 분석 기반 예측
    4.1 통계적 분석 특성, 장단점 및 향후 과제
5. 결 론
6. References

• 정영진(인하대학교 산업경영공학과) | Young-Jin Jung (Department of Industrial Engineering, INHA University)
• 홍지수(인하대학교 산업경영공학과) | Ji-Soo Hong (Department of Industrial Engineering, INHA University) Corresponding author
• 김솔잎(한화에어로스페이스 PGM 연구소) | Sol-Ip Kim (PGM R&D Institute, Hanwha Aerospace)
• 강성우(인하대학교 산업경영공학과) | Sung-Woo Kang (Department of Industrial Engineering, INHA University)