@article{ART002644325},
author={Namsu Ahn and Kim Jaewoong and Kim Minsu and Lee Jonggill},
title={Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data},
journal={Journal of Advances in Military Studies},
issn={2635-5531},
year={2019},
volume={2},
number={1},
pages={1-14},
doi={10.37944/jams.v2i1.39}
TY - JOUR
AU - Namsu Ahn
AU - Kim Jaewoong
AU - Kim Minsu
AU - Lee Jonggill
TI - Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data
JO - Journal of Advances in Military Studies
PY - 2019
VL - 2
IS - 1
PB - Institute of Defense Acquisition Program
SP - 1
EP - 14
SN - 2635-5531
AB - This research proposes a new framework on reliability assessments of stored ammunition stocks. Many previous studies on reliability assessments are based on the correlation between the content of residual stabilizer and the year of manufacturing. However, it ignores the quality difference of the lot and other possible deterioration fctors. In this research, we suggest a new framework which can overcome those shorcomings.
To estimate the lif of the stored ammunition, this research combined to popular techniques. The first one is Markov chain analysis and the second one is Bayes' theorem. Markov chain analysis is used to represent the discontinuous experimental interal and quality difference in the lot, and Bayes' theorem is used to overcome the circumstance that infrmation from the experiments is limited. We obtained data from previous research aricle, and calculated three state transition matrix (function, non-function, stability) to apply the Markov chain analysis. Weights from the opinions of expers are given to three matrix, and the calculated total state transition matrix is used to estimate the long term ammunition status. In result, we propose a new framework which can reflect the quality degradation in lot and state-based business procedure. Also, the business reality that number of possible experiments is small and the obseration period can be discontinuous are reflected.
KW - Ammunition Stockpile Reliability Program;Markov Chain Analysis;Bayes' Theorem;Liftime Estimation
DO - 10.37944/jams.v2i1.39
ER -
Namsu Ahn, Kim Jaewoong, Kim Minsu and Lee Jonggill. (2019). Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data. Journal of Advances in Military Studies, 2(1), 1-14.
Namsu Ahn, Kim Jaewoong, Kim Minsu and Lee Jonggill. 2019, "Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data", Journal of Advances in Military Studies, vol.2, no.1 pp.1-14. Available from: doi:10.37944/jams.v2i1.39
Namsu Ahn, Kim Jaewoong, Kim Minsu, Lee Jonggill "Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data" Journal of Advances in Military Studies 2.1 pp.1-14 (2019) : 1.
Namsu Ahn, Kim Jaewoong, Kim Minsu, Lee Jonggill. Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data. 2019; 2(1), 1-14. Available from: doi:10.37944/jams.v2i1.39
Namsu Ahn, Kim Jaewoong, Kim Minsu and Lee Jonggill. "Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data" Journal of Advances in Military Studies 2, no.1 (2019) : 1-14.doi: 10.37944/jams.v2i1.39
Namsu Ahn; Kim Jaewoong; Kim Minsu; Lee Jonggill. Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data. Journal of Advances in Military Studies, 2(1), 1-14. doi: 10.37944/jams.v2i1.39
Namsu Ahn; Kim Jaewoong; Kim Minsu; Lee Jonggill. Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data. Journal of Advances in Military Studies. 2019; 2(1) 1-14. doi: 10.37944/jams.v2i1.39
Namsu Ahn, Kim Jaewoong, Kim Minsu, Lee Jonggill. Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data. 2019; 2(1), 1-14. Available from: doi:10.37944/jams.v2i1.39
Namsu Ahn, Kim Jaewoong, Kim Minsu and Lee Jonggill. "Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data" Journal of Advances in Military Studies 2, no.1 (2019) : 1-14.doi: 10.37944/jams.v2i1.39
