• Journal of the military operations research society of Korea
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• v.37 no.1
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• pp.1-9
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• 2011

The contractor management is one of the important factors for the modem defense acquisition program. The occurrence of unlawful company causes the reason in which defense acquisition program is unable to be reasonably fulfilled and setback to the deployment of defense weapon system. In this paper, we propose the Artificial Neural Network to develop a prediction model for the discrimination of unlawful company in defense procurement. The data which are used in analysis, are obtained targeting domestic small & medium manufacture enterprises. It is expected that our model can be used to improve the program management capability for defense acquisition and contribute to the establishment of efficient procurement procedure through entry of the reliable domestic manufacturer.

• 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.

• 시스템엔지니어링워크숍
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• s.4
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• pp.5-10
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• 2004

ACTD(Advanced Concept Technology Demonstrations) exploit mature technologies to solve important military problems. A declining budget, significant changes in threats, and an accelerated pace of technology development have challenged our ability to adequately respond to rapidly evolving military needs. This work descibes ACTD processes, management, and ACTD programs case. It is presesyed a defense acquisition program applied ACTD.A scheme of the defense asquisition program using ACTD met military needs and technology readiness level is described.

• Journal of Applied Reliability
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• v.8 no.1
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• pp.39-59
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• 2008

The performance of weapon system, based on the acceleration of advanced scientific technology, has been reinforced to the state of precision, complexion and multi-function. People have given great interest for a long time on its development, acquisition cost and enormous expense of operation/support. Under this environmental situation, this research paper proposes two kinds of implementation that can improve the RAM(Reliability, Availability, Maintainability) on weapon system. The first section is to understand all of the actual states on its reliability, in the acquisition process and to make the improvement for RAM at the milestones on the acquisition steps. The next section is to establish a defense RAM center, which will be closely cooperated with acquisition organization such as Ministry of Defense, DAPA(Defense Acquisition Program Administration), DTaQ(Defense agency for Technology and Quality) and ADD(Agency for Defense Development), etc. and to conclusively improve the RAM of weapon system in South Korea.

• Journal of Arbitration Studies
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• v.21 no.1
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• pp.157-181
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• 2011

The term of defense procurement is used indifferently from defence acquisition. It consists of two sectors : domestic defense procurement and foreign defense procurement. For efficient and transparent defense procurement, Defence Acquisition Program Law in Korea suggests some principles including the purchase of domestically manufactured munitions in the first instance, and the Defense Acquisition Program Administration(DAPA)'s direct procurement of munitions, etc. By reviewing the characteristics, process, current situation and model contracts of defense procurement, it is found that domestic procurement contracts only propose the legal approach instead of arbitration and foreign procurement contracts suggest confusedly both the legal approach and arbitration for amicable disputes settlement. Therefore, it is quite recommended for arbitration organizations such as the Korean Commercial Arbitration Board(KCAB), the Korean Arbitrators Association(KAA), and the Korean Association of Arbitration Studies(KAAS) to foster a variety of strong awareness campaign, education and consulting programs, etc. for the popular use of arbitration clause. It will contribute to settle any disputes and controversies between the parties more speedy, economically and rationally, thereby reducing the costs, time and pains for solving them.

• Journal of the Society of Naval Architects of Korea
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• v.53 no.4
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• pp.249-257
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• 2016

The purpose of this study is finding the key factors for navy to determine the necessity of naval ship PIP(Performance Improvement Program) against the altered battle field environment and politics. Recently, leading countries try to cope actively with the changing international circumstances and technology development trend in the commercial industry. In the case of domestic situation, based on the regulation, it is possible to modify the ship configurations by PIP, but there are not enough criteria and references to make a decision of necessity for the PIP program considering the naval ship acquisition planning by navy. It is necessary to acquire the obvious decision criteria for determination of PIP commencement, by the operational, political and security environment around the Korean peninsula. Considering these conditions, this study proposes the factors necessary for naval ship PIP for navy.

• Journal of National Security and Military Science
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• s.2
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• pp.261-283
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• 2004

To build up the military strength based on information oriented armed forces, the Korean ministry of national defense (MND) promotes the defense CALS (Continuous Acquisition and Life cycle Support) initiative for the reductions of acquisition times, improvements of system qualities, and reductions of costs. These defense CALS activities are the major component of the underlying mid and long term defense digitization program and the ultimate goal of program is to bring a quick victory by providing real-time battlefield intelligence and the economical operations of the military. The concept of defense CALS is to automate the acquisition and disposition of defense systems throughout their life cycle. For implementing defense CALS, the technology for exchange and sharing CALS standard data that is created once and used many times should be considered. In order to develop an efficient CALS information exchange and sharing system, it is required to integrate distributed and heterogeneous data sources and provide systematic search tools for those data. In this study, we developed a content based search engine technology which is essential for the construction of integrated data environments. The developed technology provides the environment of sharing the CALS standard data such as SGML(Standard Generalized Markup Language) and STEP(Standard for The Exchange of Product model data). Utilizing this technology, users can find and access distributed and heterogeneous data sources without knowing its actual location.

• Journal of Korean Society for Quality Management
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• v.47 no.3
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• pp.479-496
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• 2019

Purpose: The purpose of this research is to develop defense quality evaluation model in order to improve the problem of private sector quality evaluation model and propose the total integrated defense quality management model which enables to evaluate not only large defense industry, but also small-medium industry. Methods: This paper consider the characteristics on ISO 9001 Quality Management System, single PPM, PASS and defense quality and develop defense quality maturity model and index which enables to measure the current quality management level and characteristics and to evaluate operational characteristics in each maturity level for domestic defense industry. Results: From 176 DQMS certified defense industry, the defense quality maturity level is 68,2, C grade. The large defense industry shows, 80.9, A grade; medium industry 69.7, C grade; small-medium industry shows 54.1, D grade. Through the classified types of industries, the current level of quality management of defense industries was diagnosed and the areas to be supplemented for the total quality management were identified. Conclusion: Developed DQMI can be used as the basic information for spreading quality management activities in the defense industry by diagnosing the overall quality management of existing defense industries and quantifying the ambiguity of non-metric measurements and measurement standard that were presented as the threshold of the defense quality management system certification process.

• Korean Management Science Review
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• v.26 no.3
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• pp.157-167
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• 2009

Technology transition from defense technology to weapon system is an important process for defense acquisition program. Many countries such as USA, UK, Australia and Republic of Korea use technology readiness level (TRL) as a tool for technology transition by identifying critical technology elements (CTEs) and assessing the technology maturity. In this paper we review a transition process for the defense acquisition. Then we suggest a method to evaluate system's TRL using each component TRL and integration readiness level (IRL) between each technologies. We apply the method to an ACTD project. A result show that technology maturity is influenced by integration between technologies.

• Journal of Applied Reliability
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• v.15 no.4
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• pp.222-232
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• 2015

Purpose : The purpose of this study is to analyse affecting factors of Test and Evaluation and to improve the institution of Test and Evaluation in the Domestic purchase program. Methods : The domestic acquisition program is currently small in terms of size, but it is gradually increasing every year. Still, the domestic purchase program has insufficient regulations and procedures compared to the other procurement methods including research & development. Various problems are likely to occur between test and evaluation group, and defense industries regarding the regulations during Test & Evaluation. Therefore, the regulations and methods need to be amended to upgrade the current domestic purchase program into an effective and flawless one. In this paper, six variables have been chosen by the help of experts working in Ministry of National Defense (MND), Joint Chiefs of Staff (JCS), Army Headquarters and DAPA. Results : The six variables are effectiveness of proposal evaluation, fairness of test and evaluation, sufficiency of operational capabilities, seasonal period of test and evaluation, fulfillment in Integrated Logistics Support (ILS) of the industries, and guaranteeing appropriate environment for related enterprises' participation. Conclusion : This paper can help defense industries to enhance their development capabilities, and to perform tests more fairly and effectively considering the key factors identified in this research.