• Title/Summary/Keyword: National defense policy

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Impact of Maintenance Time of Anti-Ship Missile Harpoon on Operational Availability with Field Data (야전데이터 기반 하푼 유도탄 정비 소요시간이 가동률에 미치는 영향 연구)

  • Choi, Youngjae;Ma, Jungmok
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.4
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    • pp.426-434
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    • 2020
  • This paper studies the impact of the maintenance time of anti-ship missile Harpoon on operational availability with real field data. The Harpoon maintenance simulation model is developed as a testbed for identifying the optimal inventory levels on operational availability. Using multiple linear regression analysis and integer programming, the optimal inventory levels of essential assemblies are suggested. Finally, the result of sensitivity analysis shows the quantitative impact of maintenance time on operational availability and inventory costs. The authors believe that this quantitative analysis can support policy decisions to decrease maintenance time of missiles.

Development of Evaluation System for Defense Informatization Level

  • Sim, Seungbae;Lee, Sangho
    • Journal of Multimedia Information System
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    • v.6 no.4
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    • pp.271-282
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    • 2019
  • There is a description that you cannot manage what you do not measure. The Korea Ministry of National Defense (MND) is conducting evaluations in various fields to obtain meaningful effects from IT investments, and views that the evaluation of the defense informatization sector is divided into defense informatization policy evaluation and defense informatization project evaluation. The defense informatization level evaluation can measure the informatization level of MND and the armed forces or organizations. Since the evaluation system being studied to measure the level of defense informatization is composed mainly of qualitative metrics, it is necessary to reconstruct it based on quantitative metrics that can guarantee objectivity. In addition, for managing the level of change by evaluation objects, the evaluation system should be designed with a focus on homeostasis of metrics so that it can be measured periodically. Moreover, metrics need to be promoted in terms of performance against targets. To this end, this study proposes to measure the level of defense informatization by dividing it into defense information network, computer systems, interoperability and standardization, information security, information environment, and information system use, and suggests their metrics.

A Study on the Improvement of the Defense-related International Patent Classification using Patent Mining (특허 마이닝을 이용한 국방관련 국제특허분류 개선 방안 연구)

  • Kim, Kyung-Soo;Cho, Nam-Wook
    • Journal of Korean Society for Quality Management
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    • v.50 no.1
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    • pp.21-33
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    • 2022
  • Purpose: As most defense technologies are classified as confidential, the corresponding International Patent Classifications (IPCs) require special attention. Consequently, the list of defense-related IPCs has been managed by the government. This paper aims to evaluate the defense-related IPCs and propose a methodology to revalidate and improve the IPC classification scheme. Methods: The patents in military technology and their corresponding IPCs during 2009~2020 were utilized in this paper. Prior to the analysis, patents are divided into private and public sectors. Social network analysis was used to analyze the convergence structure and central defense technology, and association rule mining analysis was used to analyze the convergence pattern. Results: While the public sector was highly cohesive, the private sector was characterized by easy convergence between technologies. In addition, narrow convergence was observed in the public sector, and wide convergence was observed in the private sector. As a result of analyzing the core technologies of defense technology, defense-related IPC candidates were identified. Conclusion: This paper presents a comprehensive perspective on the structure of convergence of defense technology and the pattern of convergence. It is also significant because it proposed a method for revising defense-related IPCs. The results of this study are expected to be used as guidelines for preparing amendments to the government's defense-related IPC.

A Leverage Strategy of the Defense Program Analysis Based on Systems Thinking (시스템 사고를 이용한 국방 사업분석 레버리지 전략)

  • Seo, Hyeok;Lee, Sang-Eun
    • Korean System Dynamics Review
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    • v.10 no.1
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    • pp.77-95
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    • 2009
  • The ever-increasing government budget constraints have led to a continued decline in the increase rate for defense spending, and the government's 5-year National Fiscal Management Plan has served to reinforce the verification and validation procedures for the Force Improvement Programs (FIP) budget requirements and performance. Additionally, as large programs are controlled in accordance with the Total Program Cost Management Guidelines, timely and credible feasibility study and performance measurement need to be conducted. Due to these internal and external circumstances, needs have surged for feasibility and economic effectiveness study for big ticket projects in the FIP sector, with an increasing number of studies conducted by external research institutes. However, questions have been raised regarding the credibility and thoroughness of the program analyses performed by these research institutes due to various restrictions. This paper analyzes and identifies the structural limitations and problems using a systems thinking approach, and examines the systemic characteristics of the program analysis system. It also presents policy intervention recommendations based on the theory of systems thinking, a method to regularize and reinforce the program analysis system. Policy interventions recommended to ensure alignment of the external studies to the clear analysis objectives and resolve the bottlenecks in the external analysis include training those in charge of external study commissioning for a short term intervention, and increasing the number of research institutes and consulting agencies utilizing analysis and evaluation experts who transition to the private sector from the military for a long term intervention. additionally presented are strategies and policy alternatives to best utilize these policy interventions. They will contribute to the stable funding of Force Improvement Programs and efficient utilization of defense budget.

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Ant Colony Optimization Approach to the Utility Maintenance Model for Connected-(r, s)-out of-(m, n) : F System ((m, n)중 연속(r, s) : F 시스템의 정비모형에 대한 개미군집 최적화 해법)

  • Lee, Sang-Heon;Shin, Dong-Yeul
    • IE interfaces
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    • v.21 no.3
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    • pp.254-261
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    • 2008
  • Connected-(r,s)-out of-(m,n) : F system is an important topic in redundancy design of the complex system reliability and it's maintenance policy. Previous studies applied Monte Carlo simulation and genetic, simulated annealing algorithms to tackle the difficulty of maintenance policy problem. These algorithms suggested most suitable maintenance cycle to optimize maintenance pattern of connected-(r,s)-out of-(m,n) : F system. However, genetic algorithm is required long execution time relatively and simulated annealing has improved computational time but rather poor solutions. In this paper, we propose the ant colony optimization approach for connected-(r,s)-out of-(m,n) : F system that determines maintenance cycle and minimum unit cost. Computational results prove that ant colony optimization algorithm is superior to genetic algorithm, simulated annealing and tabu search in both execution time and quality of solution.

A Study on the Identifying Emerging Defense Technology using S&T Text Mining (S&T Text Mining을 이용한 국방 유망기술 식별에 관한 연구)

  • Lee, Tae-Bong;Lee, Choon-Joo
    • Journal of the military operations research society of Korea
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    • v.36 no.1
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    • pp.39-49
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    • 2010
  • This paper tries to identify emerging defense technology using S&T Text Mining. As a national agenda, there has been much effort to build S&T information systems including NTIS and DTiMS that enable researchers, policy makers, or field users to analyze technological changes and promote the best policy practices for efficient workflow, knowledge sharing, strategy development, or institutional competitiveness. In this paper, the S&T Text Mining application to unmanned combat technology using INSPEC DB is empirically illustrated and shows that it is a feasible approach to identify emerging defense technology as well as the structure of knowledge network of the future technology candidates.

An Improvement Strategy on the Chief Data Officer of MND (국방데이터책임관 제도 운영 발전방안)

  • Park, Taehyun;Kim, Sungtae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.66-68
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    • 2022
  • As data utilization becomes increasingly important, not only private companies but also public institutions are making great efforts to promote data utilization. The chief data officer is a key element of data governance, a driving system that achieves policy goals by adjusting the functions of each department in the organization responsible for data policy. With the enforcement of the Data-based Administration Law, all public institutions, including the Ministry of National Defense, have designated data officers, but it is not enough to play a practical role as it is still in the early stages of introduction. In this study, the current status of the operation of the defense data officer system is checked, and development strategy to play a practical role are presented.

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Analysis of Trends for Weapon System Accidents Using Social Network Analysis (사회 연결망 분석을 활용한 무기체계 안전사고 동향 분석)

  • Kang, Eonbi;Park, Sanghyun;Kwon, Kiseok;Jeon, Jeonghwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.25 no.1
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    • pp.82-95
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    • 2022
  • Since military weapon accidents or breakdowns are directly linked to enormous damage, it is important to analyze the causes of weapons system accidents. Recently, in the defense sector, there have been cases in which budget has been saved through analysis of the causes of frequent breakdowns and improvement activities that have occurred in the process of operating weapon systems since 2015. But due to the nature of the defense sector, it is not easy to collect data and studies on weapons system accidents have been insufficient so far. Therefore, this study aims to investigate the causes and types of military weapon accidents by collecting military weapon accident data for military weapon systems and analyzing trends by weapon system classification through the analysis process. It analyzes statistically and visually through social network analysis, NodeXL. It is expected that this study will help improve the stability of the weapon system by reducing the number of military weapon accidents and failures.

A Study on Cost Risk Estimation applying Joint Cost-Schedule Probability Distribution Model (비용과 일정의 결합확률 분포를 적용한 위험비용추정에 관한 연구)

  • Kim, Dong-Kyu;Kang, Sung-Jin;Han, Gyu-Sik
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.5
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    • pp.850-858
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    • 2011
  • The risk analysis plays an important role in weapon system acquisition project due to uncertainties in the acquisition process. But in domestic, studies on risk analysis are insufficient and risk cost is not included in acquisition budget in policy. Therefore, in this study, we suggest a method that measures risk or success probability of project using the stochastic model. In particular, in order to calculate the success probability, we apply the joint probability distribution model of cost and schedule that are critical factors influencing the project risk. And also we verify the applicability of this model in Korean defence industry environment through case studies.