• Journal of the military operations research society of Korea
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• v.35 no.1
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• pp.1-19
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• 2009

This study aims to improve methodology for a Defense Simulation which is to calculate wartime stockpile requirement of artillery munitions for K-9 against armored vehicles. Due to incorrect data input and distortion in simulation logic, the expected occupancy ratio for each weapon system obtained from applying a traditional method using an analytical Defense Simulation shows considerable discrepancies from what we expect from a war in the future. This study analyzes causes for incorrect data input and phenomena of distortion in simulation logic. By taking measures to control these phenomena, the study aims to present trustworthy methodology for a Hybrid Defense Simulation which is to calculate wartime stockpile requirement of munitions for ground forces by interaction between a controlled training Defense Simulation model and a analytical Defense Simulation model

• Journal of the military operations research society of Korea
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• v.34 no.2
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• pp.143-162
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• 2008

This paper aims to formulate the method of estimating the wartime stockpile requirement of 155mm self-propelled artillery including intelligent ammunition for armored vehicles, currently being developed. The usual method of utilizing war-game simulation results in considerable margins in expected occupancy ratio between ground forces and air forces for each weapon system for armored vehicles. Also, the method tends to produce excessive output greater than the minimal stockpile requirements; therefore, the study aims to overcome limitations like these by the allocation method for each weapon system according to targets. This allocation method is better than war-game simulation method.