데이터 파밍의 이해와 국방분야 적용 : K-55용 탄약운반장갑차 운용효과 분석 = Understanding on Data Farming and Application to Defense affairs : Operational Effectiveness Analysis of FAASV for K-55

다국어 초록 (Multilingual Abstract)

Data farming is a sort of process using simulation modeling, high performance computing, experimental design and analysis to examine questions of interest with many related aspects and it allows decision makers to understand better and to make a decision more efficiently. In 1997, data farming was first introduced for USMC modeling and simulation initiative and has been used for making a decision of military and public affairs in many countries. However data farming which has enormous worth in decision making hasn't been introduced to Korea yet. Hence in this paper, we introduced the efficiency of data farming and applied it evaluate the operational effectiveness of to FAASV(field artillery ammunition support vehicle) for K-55 SP(self-propelled artillery).

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