• 한국국방경영분석학회지
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• 제35권1호
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• pp.63-82
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• 2009

본 연구는 국방획득사업에 있어서 무기체계 기종결정간 현 규정상의 문제점을 분석하고 객관성과 공정성을 확보할 수 있는 몇 가지 기법을 제안하고 있다. 헬기 가종결정 문제를 적용 사례로 제시하였으며 AHP, PROMETHEE, 요소변환 등의 기법적용과 장 단점 분석을 통하여 비교분석 하였다. 모든 상황에서 모든 조건을 만족하는 의사결정 기법은 사실상 존재하지 않는다. 따라서 무기체계 기종결정시 평가항목의 유형에 따라 적합한 의사결정 기법을 적용함으로써 객관성을 유지할 수 있을 것으로 판단된다.

• 한국군사과학기술학회지
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• 제23권4호
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• pp.381-388
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• 2020

Weapon target assignment problem is an essential technology for automating the operator's rapid decision-making support in a battlefield situation. Weapon target assignment problem is a kind of the optimization problem that can build up an objective function by maximizing the number of threat target destructed or maximizing the survival rate of the protected assets. Weapon target assignment problem is known as the NP-Complete, and various studies have been conducted on it. Among them, a greedy heuristic algorithm which guarantees (1-1/e) approximation has been considered a very practical method in order to enhance the applicability of the real weapon system. In this paper, we formulated the weapon target assignment problem for supporting decision-making at the level of artillery. The lazy strategy based on hierarchical structure is proposed to accelerate the greedy algorithm. By experimental results, we show that our algorithm is more efficient in processing time and support the same level of the objective function value with the basic greedy algorithm.

• 한국군사과학기술학회지
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• 제7권4호
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• pp.44-52
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• 2004

The test and evaluation(T&E) of weapon systems is a significant activity in the decision-making process of defense acquisition program, providing the data of trade-off analysis, risk reduction and readiness to advance to next phase of development for the decision-maker. Currently, the modeling and simulation(M&S) is being a critical method in the test and evaluation of weapon systems. Therefore in this paper we review the current status of the test and evaluation for the defense acquisition program in Korea, and suggest an application of M&S in the T&E of weapon systems.

• 한국국방경영분석학회지
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• 제17권1호
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• pp.84-104
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• 1991

Up to the present, the evaluation measures in the production and inventory management have been studied under the pre-condition that the costs for major factors(e.g,. cost of carrying inventory, cost of demand shortage) are given easily, although in practice, it is difficult. The case in which multiple participants have a different viewpoints in production and inventory management has not been studied, in spite of its frequent occurrence. This study suggests a production and inventory model with multiple objectives corresponding to major factors and the related interactive algorithm based on the preference structures of participants. The problem can be solved through a weighting vector generated by an interaction with participants. The concept of equity is also used in order to guarantee the reasonable distribution of group utility in determining the individual relative weights of participants. This study includes the reality of the model and the decision process in the production and inventory management.

• 한국국방경영분석학회지
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• 제25권1호
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• pp.107-132
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• 1999

In this study, we are concerned with the comparative aspects of five selected methods of decision making with respect to their adequacy in helping complex decisions about real-world problems. We examine the methods in terms of outlines, procedures and advantages/disadvantages to identify similarities and differences among them with the aim of showing which method is more likely to gain greater attention both in academia and in practice. To illustrate different courses of deployment of the methods, we offer an application with a case of airport transportation project in this paper. Some discussions on AHP and other methods are presented.

• 한국군사과학기술학회지
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• 제13권5호
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• pp.808-817
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• 2010

This paper proposes a novel appoach which can assess the system technical maturity for use in Defense R&D Program reviews. As the weapon systems become more complicated, the success and effectiveness of R&D outcome heavily depend on the application and tailoring of systems engineering process and methods. It is a difficult task to assess the system readiness level(SRL) of the system being developed. A system-focused approach for managing weapon systems development and making effective and efficient decisions during the development lifecycle is critical to ensure the success of the program. The proposed weighted average SRL can facilitate the system technical maturity assessment without expending heavy work load.

• 한국국방경영분석학회지
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• 제28권2호
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• pp.34-55
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• 2002

This paper deals with the multiple attribute decision making problem when a decision maker incompletely articulates his/her preferences about the attribute weight and alternative value. Furthermore, we consider the attribute tree which is structured hierarchically. Techniques for establishing dominance with linear partial information are proposed in a hierarchically structured attribute tree. The linear additive value function under certainty is used in the model. The incompletely specified information constructs a feasible region of linear constraints and therefore the pairwise dominance relationship between alternatives leads to intractable non-linear programming. Hence, we propose solution techniques to handle this difficulty. Also, to handle the tree structure, we break down the attribute tree into sub-trees. Due to there cursive structure of the solution technique, the optimization results from sub-trees can be utilized in computing the value interval on the topmost attribute. The value intervals computed by the proposed solution techniques can be used to establishing the pairwise dominance relation between alternatives. In this paper, pairwise dominance relation will be represented as strict dominance and weak dominance, which ware already defined in earlier researches.

• 대한지역사회영양학회지
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• 제19권1호
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• pp.51-59
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• 2014

The current exploratory study presents the Analytical Hierarchy Process (AHP) as a potential decision-making method to obtain the relative weights of alternatives through pairwise comparison in the context of hierarchical structure. The aim of this study was to elicit prior strategy to improve army military foodservice. Content analysis and seven times of in-depth interview from 13 officers of the Ministry of National Defense were conducted to develop the hierarchical structure for AHP analysis. Questionnaires were distributed to 61 foodservice managers and 39 dietitian and military foodservice officers. The highest-ranked strategy for improving military foodservice was the 'renewal of the kitchen facilities' (0.2578), followed by 'enlargement of foodservice operating staffs' (0.2345), 'specialization of sanitation & foodservice management' (0.2222), 'Practical foodservice budget control' (0.1394), and 'menu variety & standardized recipe' (0.1281). 'Enlargement of foodservice facilities' (0.3995), 'increase the no. of kitchen police' (0.3463), 'sanitary & cooking training reinforcement of kitchen police' (0.4445), 'management of foodservice budget by total amount' (0.5043), and 'standardization of mass cooking' (0.3571) were the highest overweight item in each strategy. The study also compared the relative weights of alternatives of foodservice managers with that of dietitians and military foodservice officers. Those two groups revealed some difference in their priority of important strategy regarding army military foodservice. The results of this study would provide the data for making a policy or compilation of the budget regarding army military foodservice.

• 시스템엔지니어링학술지
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• 제18권1호
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• pp.90-98
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• 2022

On February 12, 2019, the U.S. Department of Defense newly established and announced the "Defense AI Strategy" to accelerate the use of artificial intelligence (AI) technology for military purposes. As China and Russia invested heavily in AI for military purposes, the U.S. was concerned that it could eventually lose its advantage in AI technology to China and Russia. In response, China and Russia, which are hostile countries, and especially China, are speeding up the development of new military theories related to the overall construction and operation of the Chinese military based on AI. With the rapid development of AI technology, major advanced countries such as the U.S. and China are actively researching the application of AI technology, but most existing studies do not address the special topic of defense. Fortunately, the "Future Defense 2030 Technology Strategy" classified AI technology fields from a defense perspective and analyzed advanced overseas cases to present a roadmap in detail, but it has limitations in comparing private technology-oriented benchmarking and AI technology's maturity level. Therefore, this study tried to overcome the limitations of the "Future Defense 2030 Technology Strategy" by comparing and analyzing Chinese and U.S. military research cases and evaluating the maturity level of military use of AI technology, not AI technology itself.

• 한국경영과학회지
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• 제1권1호
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• pp.89-94
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• 1976

Many techniques have been applied to comprehensive regional planning through the processes of goal-building, research and analysis, plan-establishing, implementation-scheduling, and evaluation. Operations research(OR) is one of those techniques. OR has been developed in such fields of military operations, industrial engineering and business management during the last three decades in several developed western countries. It is a recent tendency for public administrators and researchers to be interested in OR for their scientific decision making. Therefore, we see that OR has not only a weak basis on, but a few practical applications to urban and regional planning. Such situation is worse in developing countries. This paper aims at investigating the possible basis and limitations or obstacles of OR application to public decision making, especially regional planning. A practical example of OR application to regional planning in Korea and its evaluation will be introduced.