• Aerospace Industry
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• s.92
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• pp.24-27
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• 2006

참여정부의 국방획득 제도개선 추진의 결과로 방위사업법이 제정되고, 이 법에 따라 방위사업청 산하 정부출연 법인체로 '06년 2월 2일 새로운 조직의 국방기술품질원(이하 기품원)이 탄생하게 되었다. 이에 기품원 사천센터에서 있었던 T-50엔진(F-404-102)의 내구성 시험평가 현황을 알아보고 이 과정에서 느낀 교훈을 살펴보고자 한다.

• Journal of the military operations research society of Korea
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• v.34 no.1
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• pp.117-135
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• 2008

The ROK's military is attempting to change to advanced information science force through 'the Defense Reform 2020', which essentially creates the requirements of new military force. Therefore, the importance of defense industry and defense budget have been emphasized in order to successfully promote military build-up. However, the ROK defence industry has been going serious difficulties in the present day, and what is worse, unreliable rationality stability of Defense Capability Improvement Cost put the industry in the harder situation. In this circumstances, the improvement measures of the rationality stability of Defense Capability Improvement Cost should be immediately studied to satisfy the requirements of ROK military force in a suitable time and the development of ROK defense industry. The purpose of this study was to propose reinforcement measures to improve the arrangement system of yearly allocation for Mid-term Defense Plan of defense capability improvement programs and connect Mid-term Defense Plan to National Fiscal Management Plan to raise the rationality stability of ROK Defense Capability Improvement Cost.

• Defense and Technology
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• no.7 s.137
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• pp.58-67
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• 1990

서방 공업강국중 하나인 이탈리아는 광범위한 방위산업을 유지하고 있다. 이탈리아 방위산업은 저변이 넓고 깊은 저력을 가지고 있다. 전자분야와 같은 특정분야 에서는 독점보다는 오히려 치열한 국내 경쟁이 전개되고 있다. 그러나 업계는 지난 3년간 어려운 시기를 겪었다. 정부의 새로운 수출법 제정에 따라 갈피를 잡을수 없는 동안 방산수출은 사실상 중단되었다. 동시에 시장은 거의 정체상태였다. 국제 프로그램의 참여가 이탈리아 업계의 돌파구가 될 것이며, 보다 장기적으로 볼때 이탈리아 업계의 활로는 유럽의 C-130 교체사업으로 부터 찾을수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.426-432
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• 2017

This paper analyzed the status of defense acquisition organizations, the defense acquisition system, and management strategies for each field in major developed countries. The current state of defense procurement organizations in major developed countries would be applied to identify the operational systems in domestic market. Effective management of defense commissioners on the management of each sector is being carried out by the government and company. We believe that it will be possible to establish transparency, credibility, and expertise from the perspective of third parties through securing the current pre - verification procedure. In conclusion, we believe that the operation of the Defense Business Supervisor enabled the establishment of a pre-supervision system for the entire defense business, and an environment to ensure maximum independence.

• Journal of the military operations research society of Korea
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• v.35 no.2
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• pp.15-31
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• 2009

This paper examines several inefficient problems generated from a management process of defense acquisition system, and suggests several alternatives to remedy the current acquisition-related problems. This might help MND to reform the current DAPA's acquisition system. The offered elements are to, first, redefine function of mid-term plan & budget allocation between MND and DAPA, second, devise economic acquisition management and force development to build integrated management system of requirement-acquisition-operation & maintenance, third, build Workforce Management Act(WMA) and Professional Education System(PES) for strengthening expertise and institutionalizing manpower rotation of requirements & acquisition-related fields, fourth, implement weapon systems' Total Life Cycle Systems Management(TLCSM) and improve developmental & operational test and evaluation. These are essential elements in minimizing confusion & conflict emanating from surrounding acquisition program among MND-DAPA-Each Services.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.491-497
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• 2018

This study analyzes the relationship between R&D input and performance using panel data from the defense industry. A research model is established based on the R&D logic model, and the study sample consists of a strongly balanced panel data (n=351) empirically analyzed using panel linear regression. Results identified that defense improvement expenditure has a positive influence on the R&D input, and R&D input positively affected patents using a 5-year time lag. In addition, R&D input positively impacts economic performance, including sales and profit. Hence, the major finding includes R&D inputs have statistically significant effects on economic outcome and the R&D logic model featuring a time-lag.

• Defense and Technology
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• no.4 s.146
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• pp.72-79
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• 1991

군사판매와 공동협력의 2가지 접근방법이 새로운 현실에 부응하여 완만하게나마 NATO내 비표준화장비의 표준화를 시도해 왔다. 미국과 독일간의 Roland/Patriot 방공미사일, 미국과 이탈리아간의 방공협정과 같은 합작품들은 1980년대 중반에 시작한 공동사업이다. 미의회에서는 동맹국 및 우방국들과의 협력활동을 지원해주었다. 1976회계연도의 Culver-Nunn법은 국무부가 NATO국가들과 광범위한 협력활동을 추진하도록 고무하였다

• Defense and Technology
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• no.4 s.242
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• pp.70-81
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• 1999

군사규격의 국산화와 규격완화검토를 보다 활성화하기 위해서는 '규격검토 연구팀'을 상설하고, 상용제품의 경우에도 시장성과 상용성이 뛰어난 제품을 군수품으로 폭넓게 활용할 수 있도록 군수품관리법을 개정하여야 할 것이다. 그리고 기술개발사업시 기술정보 및 기술개발 자원교류 체제의 미흠으로 발생되는 중복투자 등 자원의 낭비를 방지하기 위해서 기술정보 교류 및 안보기술개발 네트워크를 구축해야 한다

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.357-363
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• 2020

With the emphasis on protecting Defense Industry Technology, the Defense Industry Technology Protection Act (DITPA) was enacted (in 2015) and implemented. According to article 7 of the DITPA, a target institution may apply to the Director of the Defense Acquisition Program Administration (DAPA) for a decision as to whether the technology it possesses belongs to the Defense Industry Technology. The Director of the DAPA shall make a decision through a technical review and notify the applicant in writing of the result. On the other hand, as detailed procedures and standards for the decision are not stipulated, the objectivity of the decision result may deteriorate, and it is necessary to prepare a procedure suitable for the characteristics of the decision. In this study, a technology assessment procedure that can be applied to the Defense Industry Technology Decision is proposed through domestic and international technology protection regulations and case analysis. The procedure consists of three-stage: fundamental review, technical attribute review, comprehensive review. As a result of this study, it is expected that the objectivity of a technology assessment for the Technology Industry Technology Decision will be secured, and the efficiency will be improved.

• Journal of Intelligence and Information Systems
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• v.26 no.3
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• pp.109-125
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• 2020

The Ministry of National Defense is pushing for the Defense Acquisition Program to build strong defense capabilities, and it spends more than 10 trillion won annually on defense improvement. As the Defense Acquisition Program is directly related to the security of the nation as well as the lives and property of the people, it must be carried out very transparently and efficiently by experts. However, the excessive diversification of laws and regulations related to the Defense Acquisition Program has made it challenging for many working-level officials to carry out the Defense Acquisition Program smoothly. It is even known that many people realize that there are related regulations that they were unaware of until they push ahead with their work. In addition, the statutory statements related to the Defense Acquisition Program have the tendency to cause serious issues even if only a single expression is wrong within the sentence. Despite this, efforts to establish a sentence comparison system to correct this issue in real time have been minimal. Therefore, this paper tries to propose a "Comparison System between the Statement of Military Reports and Related Laws" implementation plan that uses the Siamese Network-based artificial neural network, a model in the field of natural language processing (NLP), to observe the similarity between sentences that are likely to appear in the Defense Acquisition Program related documents and those from related statutory provisions to determine and classify the risk of illegality and to make users aware of the consequences. Various artificial neural network models (Bi-LSTM, Self-Attention, D_Bi-LSTM) were studied using 3,442 pairs of "Original Sentence"(described in actual statutes) and "Edited Sentence"(edited sentences derived from "Original Sentence"). Among many Defense Acquisition Program related statutes, DEFENSE ACQUISITION PROGRAM ACT, ENFORCEMENT RULE OF THE DEFENSE ACQUISITION PROGRAM ACT, and ENFORCEMENT DECREE OF THE DEFENSE ACQUISITION PROGRAM ACT were selected. Furthermore, "Original Sentence" has the 83 provisions that actually appear in the Act. "Original Sentence" has the main 83 clauses most accessible to working-level officials in their work. "Edited Sentence" is comprised of 30 to 50 similar sentences that are likely to appear modified in the county report for each clause("Original Sentence"). During the creation of the edited sentences, the original sentences were modified using 12 certain rules, and these sentences were produced in proportion to the number of such rules, as it was the case for the original sentences. After conducting 1 : 1 sentence similarity performance evaluation experiments, it was possible to classify each "Edited Sentence" as legal or illegal with considerable accuracy. In addition, the "Edited Sentence" dataset used to train the neural network models contains a variety of actual statutory statements("Original Sentence"), which are characterized by the 12 rules. On the other hand, the models are not able to effectively classify other sentences, which appear in actual military reports, when only the "Original Sentence" and "Edited Sentence" dataset have been fed to them. The dataset is not ample enough for the model to recognize other incoming new sentences. Hence, the performance of the model was reassessed by writing an additional 120 new sentences that have better resemblance to those in the actual military report and still have association with the original sentences. Thereafter, we were able to check that the models' performances surpassed a certain level even when they were trained merely with "Original Sentence" and "Edited Sentence" data. If sufficient model learning is achieved through the improvement and expansion of the full set of learning data with the addition of the actual report appearance sentences, the models will be able to better classify other sentences coming from military reports as legal or illegal. Based on the experimental results, this study confirms the possibility and value of building "Real-Time Automated Comparison System Between Military Documents and Related Laws". The research conducted in this experiment can verify which specific clause, of several that appear in related law clause is most similar to the sentence that appears in the Defense Acquisition Program-related military reports. This helps determine whether the contents in the military report sentences are at the risk of illegality when they are compared with those in the law clauses.