• 산업경영시스템학회지
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• 제40권1호
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• pp.11-21
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• 2017

Artillery fire power due to effectiveness which is hard to predict well-planned and surprising attack can give a fear and shock to the personnel and is a very core weapon system and takes a critical role in wartime. Therefore in order to maximize operational effectiveness, Army required protecting artillery and takes a quick attack action through rapid construction of artillery's positions. The artillery use artillery's position to prevent exposure by moving to other position frequently. They have to move and construct at new artillery's positions quickly against exposing existed place by foe's recognition. These positions should be built by not manpower but engineering construction equipment. Because artillery positions have to protect human and artillery equipment well and build quickly. Military engineering battalion have lots of construction equipment which include excavator, loader, dozer, combat multi-purposed excavator, armored combat earthmover dump truck and so on. So they have to decide to optimal number of Team combining these equipments and determine construction sequence of artillery's position in operational plan. In this research, we propose to decide number of Team efficiently and allocate required construction's positions for each Team under constraints of limited equipments and time. To do so, we develop efficient heuristic method which can give near optimal solution and be applied to various situation including commander's intention, artillery position's priority or grouping etc. This heuristic can support quick and flexible construction plan of artillery positions not only for using various composition's equipment to organize Teams but also for changing quantity of positions.

• 산업경영시스템학회지
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• 제41권2호
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• pp.74-83
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• 2018

It is very crucial activities that Korean army have to detect and recognize enemy's locations and types of weapon of their artillery firstly for effective operation of friendly force's artillery weapons during wartime. For these activities, one of the most critical artillery weapon systems is the anti-artillery radar (hereafter; radars) for immediate counter-fire operations against the target. So, in early wartime these radar's roles are very important for minimizing friendly force's damage because arbiters have to recognize a several enemy's artillery positions quickly and then to take an action right away. Up to date, Republic of Korea Army for tactical artillery operations only depends on individual commander's intuition and capability. Therefore, we propose these radars allocation model based on integer programming that combines ArcGIS (Geographic Information System) analysis data and each radar's performances which include allowable specific ranges of altitude, azimuth (FOV; field of view) and distances for target detection, and weapons types i.e., rocket, mortars and cannon ammo etc. And we demonstrate the effectiveness of their allocation's solution of available various types of radar asset through several experimental scenarios. The proposed model can be ensured the optimal detection coverage, the enhancement of artillery radar's operations and assisting a quick decision for commander finally.

• 산업경영시스템학회지
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• 제35권2호
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• pp.37-44
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• 2012

This paper focuses on scheduling problems arising in the military. In planned artillery attack operations, a large number of threatening enemy targets should be destroyed to minimize fatal loss to the friendly forces. We consider a situation in which the number of available weapons is smaller than the number of targets. Therefore it is required to develop a new sequencing algorithm for the unplanned artillery attack operation. The objective is to minimize the total loss to the friendly forces from the targets, which is expressed as a function of the fire power potential, after artillery attack operations are finished. We develop an algorithm considering the fire power potential and the time required to destroy the targets. The algorithms suggested in this paper can be used in real artillery attack operations if they are modified slightly to cope with the practical situations.

• 한국시뮬레이션학회논문지
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• 제17권3호
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• pp.45-51
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• 2008

개전 초,적군은 다양한 화력지원수단을 이용하여 아군의 핵심시설 파괴를 기도할 것이다. 이러한 화력지원수단 중 포병은 가장 큰 비중을 차지하고 있다. 갱도포병은 생존성 측면에서 아군에 비해 월등한 우세를 점하고 있어 아군에게 큰 위협요소로 판단된다. 갱도포병을 타격하는 연구는 지금까지 군 내부의 연구를 통해서 발전해 왔다. 그러나 이러한 연구의 대부분이 정성적인 분석방법으로 이루어져 객관적이지 못하고 다양하지 못한 방법이라는 한계를 지니고 있다. 이에 본 연구에서는 아군이 생존성의 약점을 극복하기 위하여 갱도포병이 갱도 출구를 개방하고 사격을 개시하기 전에 타격하는데 초점을 맞추고 갱도 포병을 타격하기 위한 정량적인 분석 방법으로 DEVS를 이용한 시뮬레이션 연구를 수행하고자 한다.

• 경영과학
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• 제34권2호
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• pp.103-113
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• 2017

The artillery is a key element of the ground forces operation during wartime, and the military engineers support the artillery position development operation to support the smooth operation of the artillery. In establishing the artillery position development operation plan, the commander requires more than his intuition to find the best option reflecting a number of elements of the battlefield situation which changes every minute. Moreover, the number of available equipment is smaller than the number of required position developments, and the effective equipment operation becomes essential element of this issue. This study quantified the capability of the available engineering equipment, organized a number of teams enabling equipment to put out the maximum capacity based on the quantified figures, and formed the model which allocates the team to the developing points to minimize the developing time. The goal programming method was applied to resolve the problem. The developed model was applied to compare the total mission duration following the number of teams, the variable for commander's decision, and the result of this study can be used as the quantitative data for commander's decision making process in establishing the artillery position development support operation through effective equipment management.

• 한국군사과학기술학회지
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• 제16권2호
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• pp.175-184
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• 2013

In counterfire warfare, it is important to detect and attack enemy targets faster than the enemy using sensing and shooting assets. The artillery assets of North Korea are mostly mine artillery and much more than those of South Korea. To cope with sudden fire attacks from North Korea, we need to improve capability of our artillery. In this paper, we discuss issues and problems of our counterfire warfare systems and processes to overcome numerical inferiority and defend against the mine artillery. We develop a simulation model for counterfire warfare and analyze effectiveness of our counterfire weapon systems and operations based on various counterfire warfare scenarios. Finally, we propose methods of tactical operations and acquisition strategies of counterfire weapon systems, including detaction, firing, and protection assets.

• 한국군사과학기술학회지
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• 제26권2호
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• pp.139-148
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• 2023

Safety standards for long-range artillery ammunition test and training sites follow the US artillery shooting range safety zone standards. Although the South Korean geographical conditions of shooting ranges are different from those of the United States, there is no safety standard reflecting the South Korean topographical characteristics. Probable error associated with the shooting range, trajectory should be considered in establishing the safety standards. In this study, we present the safety standards for the ammunition testing site suitable for the Korean situation, with applying a concept of trajectory and probable error differed by ammunition type, which are currently confirmed by the South Korean Army's artillery shooting.

• 한국국방경영분석학회지
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• 제36권2호
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• pp.11-24
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• 2010

네트워크 중심전(NCW) 및 효과중심작전(EBO)으로 대표되는 현대 및 미래전에서 포병의 신속하고 정확한 정밀타격능력은 전쟁 승패의 중요한 요인으로 작용될 것이다. 본 연구는 대화력전 및 화력지원간 실제 운용되는 환경 중 갱도포병과 같이 타격제한시간이 있는 포병 표적처리에 관한 연구로 여러 가지 제한사항들을 모형 화하여 표적할당 및 사격순서를 동시에 결정하는 문제이다. 본 연구에서는 시간제약이 있는 포병 표적처리문제에서 사격 제한시간을 만족하면서, 총 사격시간을 최소화하는 수리모형과 유전자 알고리즘을 제시하였다. 소형 문제를 이용한 축소실험으로 본 연구에서 제안하는 수리모형과 유전자 알고리즘의 타당성을 입증하였으며, 대형 문제를 이용한 확대실험에서 유전자 알고리즘으로 근사 최적해를 산출하였다.

• 한국국방경영분석학회지
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• 제31권2호
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• pp.28-44
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• 2005

The previous studies approach the field artillery fire scheduling problem as deterministic and do not explicitly include information on the potential scenario changes. Unfortunately, the effort used to optimize fire sequences and reduce the total time of engagement is often inefficient as the collected military intelligence changes. Instead of modeling the fire sequencing problem as deterministic model, we consider a stochastic artillery fire scheduling model and devise a solution methodology to integrate possible enemy attack scenarios in the evaluation of artillery fire sequences. The goal is to use that information to find robust solutions that withstand disruptions in a better way, Such an approach is important because we can proactively consider the effects of certain unique scheduling decisions. By identifying more robust schedules, cascading delay effects will be minimized. In this paper we describe our stochastic model for the field artillery fire sequencing problem and offer revised robust stochastic model which considers worst scenario first. The robust stochastic model makes the solution more stable than the general two-stage stochastic model and also reduces the computational cost dramatically. We present computational results demonstrating the effectiveness of our proposed method by EVPI, VSS, and Variances.

• 한국국방경영분석학회지
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• 제34권1호
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• pp.1-11
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• 2008

본 연구에서는 다양하고 복잡한 변수간의 비선형적인 관계를 분석할 수 있는 신경망의 특성을 이용하여 곡사화기를 사용하는 포병의 모의훈련체계를 향상시킬 수 있는 방안을 제시하였다. 신경망 모델은 Conjugate Gradient 학습알고리즘을 사용하였고, 모델의 신뢰성은 모의실험을 통해 수학적 회귀분석모델과 신경망 모델의 예측오차를 비교하여 입증하였다. 신경망모델을 곡사화기 모의훈련체계 개선에 활용한다면, 보다 실전적인 모의훈련을 가능하게 하여 전투력 향상 및 예산절감에도 크게 기여할 것이다.