• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.6
• /
• pp.374-382
• /
• 2020

The purpose of this study is to improve the learning speed of an ammunition stockpile reliability classification artificial neural network model by proposing a normalization method that reduces the number of input variables based on the characteristic of Ammunition Stockpile Reliability Program (ASRP) data without loss of classification performance. Ammunition's performance requirements are specified in the Korea Defense Specification (KDS) and Ammunition Stockpile reliability Test Procedure (ASTP). Based on the characteristic of the ASRP data, input variables can be normalized to estimate the lot percent nonconforming or failure rate. To maintain the unitary hypercube condition of the input variables, min-max normalization method is also used. Area Under the ROC Curve (AUC) of general min-max normalization and proposed 2-step normalization is over 0.95 and speed-up for marching learning based on ASRP field data is improved 1.74 ~ 1.99 times depending on the numbers of training data and of hidden layer's node.

• Industry Promotion Research
• /
• v.7 no.4
• /
• pp.1-8
• /
• 2022

There are many one-shot devices that are used once and thrown away. One-shot devices such as firecrackers and ammunition are typical, and they are stored for a while after manufacture and then disposed of after use when necessary. However, unlike general operating systems, these one-shot devices have not been properly evaluated. This study first examines what the government does to secure reliability in the case of ammunition through ammunition stockpile reliability program. Next, in terms of statistical analysis, we show what the reliability analysis methods are for one-shot devices such as ammunition. Specifically, we show that it is possible to know the level of reliability if sampling inspection plan such as KS Q 0001 which is acceptance sampling plan by attributes is used. Next, non-parametric and parametric methods are introduced as ways to determine the storage reliability of ammunition. Among non-parametric methods, Kaplan-Meier method can be used since it can also handle censored data. Among parametric methods, Weibull distribution can be used to determine the storage reliability of ammunition.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.9
• /
• pp.64-72
• /
• 2020

DELAY M9 is an ammunition used in combination with the fuse M904 and M905 of aviation drop-off ammunitions. Due to the properties of the ammunition, the performance or safety of the ammunition cannot be verified until it is used, because of its one-time function, no reproduction and is finally destroyed at the same time. Long-term storage of ammunition in use by the army is inevitable due to its operational characteristics, and a test evaluation is required to maintain and verify the performance of stored ammunition for immediate use in case of emergency. This paper estimates the reliability and shelf life of the DELAY M9 ammunition by using the test data obtained through ASRP performed from the past to the present. The result of the performance evaluation test for the currently stored DELAY M9 ammunition is analyzed, and the reliability and shelf-life of the stored ammunition are assessed by examining the number of defects according to the storage time and production year. This research result can be used to manage the stored ammunition, such as ASRP planning and evaluation test, result analysis and munition state decision.

• Journal of the military operations research society of Korea
• /
• v.37 no.1
• /
• pp.39-48
• /
• 2011

To predict the shelf-life of ammunition stockpiled in intermediate have practical meaning as a core value of combat support. This research is to Predict the shelf-life of ammunition by applying time series analysis based on report from ASRP of the 155mm, KD541 performed for 6 years. This study applied time series analysis using 'Mini-tab program' to measure the amount of stabilizer as time passes by is different from the other one that uses regression analysis. The average shelf-life of KD541 drawn by time series analysis was 43 years and the lowest shelf-life assessed on the 95% confidence level was 35 years.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.1
• /
• pp.266-273
• /
• 2015

We studied the financial performance of ammunition stockpile reliability program on the Defense Management. We proposed the direct effect analysis, the indirect effect analysis and the combat power reinforcement effect as the financial performance analysis methodology. And, we estimated the financial performance using the proposed methods and the data of 2013 ASRP's data The financial performance by direct effect and indirect effect analysis was 99.96billion won and 303.7billion won. Also, The financial performance by reinforced Combat power reinforcement was 12.06 billion won. Therefore, the total financial performance of Ammunition Stockpile Reliability Program was 52.43 billion won.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.9
• /
• pp.4349-4358
• /
• 2012

ASRP(Ammunition Stockpile Reliability Program) Data is stored and operated in the field of evaluating the ammunition is not only the only field data but also the ammunition performance-oriented data can determine objectively the power of the artillery. However, ASRP has been used as a yardstick to judge the status of ammunitions stockpiled in the field. On the other hand re-evaluation of the accumulated data and in-depth research have not been carried out. A Study on the Effective Management of Artillery Ammunition using ASRP data suggests how to utilize the ASRP data to analyze and manage existing artillery forces whose focus is centered on increasing the performance of artillery ammunitions through setting the test intervals of deployed stockpiled ammunitions, forecasting the shelf-life of ammunitions, and analyzing the effectiveness of the military strength through modelling and simulation.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.7 no.4 s.19
• /
• pp.26-35
• /
• 2004

The ASTP is the standard of the assessment ASRP that is monitoring the performance, reliability and safety characteristics of the ammunition items. The ASTP used in domestic now has applied to US Army's grade system and grading criteria so that it cause some problems. To resolve these problems of ASTP, we surveyed both the quality level of production and the field management of ammunition, which compared with grade system and classification criteria. As a result of study, we changed grade system from four steps to three steps and applied the Korean Military Specifications and the Malfunction Criteria to the classification criteria of grades. We are looking forward to improving the reliability and effectiveness of ASRP assessment by simplifying grade system and generalizing grading criteria of ASTP.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.13 no.6
• /
• pp.982-989
• /
• 2010

This paper shows accuracy comparison results of reliability estimation methods for one-shot systems such as ammunitions. Quantal-response data, following a binomial distribution at each sampling time, characterizes lifetimes of one-shot systems. Various quantal-response data of different sample sizes are simulated using lifetime data randomly sampled from assumed weibull distributions with different shape parameters but the identical scale parameter in this paper. Then, reliability estimation methods in open literature are applied to the simulated quantal-response data to estimate true reliability over time. Rankings in estimation accuracy for different sample sizes are determined using t-test of SSE. Furthermore, MSE at each time, including both bias and variance of estimated reliability metrics for each method are analyzed to investigate how much both bias and variance contribute the SSE. From the MSE analysis, MSE provides reliability estimation trend for each method. Parametric estimation method provides more accurate reliability estimation results than the other methods for most of sample sizes.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.9
• /
• pp.291-300
• /
• 2020

The cartridges used for illuminating a desired point or area are virtually limited in tests and evaluations because of limitations, such as noise during launch, the possibility of fires caused by illuminant charge, and the annual testable quantity. Therefore, to solve these problems, a ground fixed test, which replaces the firing test, or an evaluation method to perform limited tests, can be applied more efficiently. In this paper, the results of an 81mm illuminating cartridge, KM series performed in 2019 were analyzed comprehensively to identify the trends in reliability and quality characteristics and to estimate the shelf life. The shelf life was estimated to be at least 10 years based on the time when the lower confidence level reached 80% at a confidence level of 90%. Considering only major defects, the shelf life can be estimated to be approximately 23 years. On the other hand, the shelf life was estimated to be approximately 11 to 15 years and 25 to 28 years according to the effective illuminating time. Finally, an assessment plan of illuminating cartridges for the mortars was also presented as an improvement plan for an assessment method in the future.

• The Korean Journal of Applied Statistics
• /
• v.31 no.5
• /
• pp.611-620
• /
• 2018

Limitations on human and material resources make it is difficult to conduct Ammunition Stockpile Reliability Program (ASRP) tasks for the entire ammunition. Stockpile ammunition life prediction studies can contribute to efficient ASRP tasks. This study assess the shelf-life of ammunition, using survival analysis based on ASRP results for 60mm and 81mm mortar ammunition from 2003 to 2016. Traditional assessments often use solely storage duration as the only main independent variable; however, this assessment used other factors such as ammunition magazine shape and weather factors with the stockpile shelf-life as independent variables to conduct a Cox's proportional hazard model analysis. This was then followed by an assessment of ammunition magazine type, maximum temperature and rainfall factors influence on the shelf-life of 60mm and 81mm mortar ammunition. As a result, the type of ammunition magazine, maximum temperature and the rainfall influence the shelf-life of 60mm and 81mm mortar ammunition.