• 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 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.41 no.3
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• pp.395-404
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• 2013

Purpose: Technology readiness assessment(TRA) used as a standard readiness assessment tool in the acquisition program of weapon system has some limitations in the comprehensive understanding of the complex system. Therefore, this research is intended to suggest a holistic maturity assessment method for the acquisition of high quality weapon system. Methods: Technology readiness level(TRL), manufacturing readiness level(MRL), integration readiness level(IRL) and system readiness level(SRL) developed to assess system maturities in the various aspects are compared and analyzed to draw an improvement avenue for the current readiness assessment method. Results: TRL, MRL, IRL and SRL have large differences in their maturity targets during the acquisition life cycle: technological performance, manufacturing capability, interface between components and total system, respectively. They complement one another's shortcomings Conclusion: To achieve a successful acquisition of high quality weapon system, multi-dimensional readiness assessment is required. Therefore, comprehensive readiness assessment using TRL, MRL, IRL and SRL will contribute to the acquisition of high quality weapon system through the accurate maturity information of overall system.

• Journal of the Korea Institute of Military Science and Technology
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• v.11 no.1
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• pp.33-42
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• 2008

Many advanced countries including the U.S. consider defense standardization as a critical task for the efficient acquisition and effective operation of weapon systems and have implemented the appropriate standardization policy by synchronizing the defense acquisition strategies and nation standardization policy with defense standardization. It is required to develop the long-term defense standardization policy that can cope with the future domestic and international defense environmental changes. Therefore, it is an inevitable task to investigate the standardization trends and strategy in the domestic and international perspectives. The study aims to provide the vision of defense standardization policy, act/regulation, organization/personnel, education/training and information system.

• 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.

• Defense and Technology
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• no.2 s.276
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• pp.40-49
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• 2002

미국의 연구, 개발 및 획득 전략도 Joint Vision 2020을 달성하는 것에 목표를 두고 발전되고 있다. 현재 미국은 품질이 향상된 무기체계를 보다 빠르고 저렴하게 획득할 수 있도록 기존의 획득체계 및 인원을 효율적으로 수정/개편하는 Acquisition Reform을 강력하게 추진하고 있다. 이 글은 Acquisition Reform 및 미 공군을 중심으로 미국의 획득관련 조직 및 관련 요원에 대한 관리/교육 및 훈련에 대해 검토하여 향후 우리군의 획득관련 조직 및 인원관리 발전 방향 검토시 유익한 참고자료로 활용되었으면 하는 취지에 작성되었다.

• Defense and Technology
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• no.1 s.275
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• pp.50-57
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• 2002

미국의 연구, 개발 및 획득 전략도 Joint Vision 2020을 달성하는 것에 목표를 두고 발전되고 있다. 현재 미국은 품질이 향상된 무기체계를 보다 빠르고 저렴하게 획득할 수 있도록 기존의 획득체계 및 인원을 효율적으로 수정/개편하는 Acquisition Reform을 강력하게 추진하고 있다. 이 글은 Acquisition Reform 및 미 공군을 중심으로 미국의 획득관련 조직 및 관련 요원에 대한 관리/교육 및 훈련에 대해 검토하여 향후 우리군의 획득관련 조직 및 인원관리 발전 방향 검토시 유익한 참고자료로 활용되었으면 하는 취지에서 작성되었다.

• Journal of the Korean Society of Systems Engineering
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• v.4 no.2
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• pp.35-43
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• 2008

Application of system engineering should be realized on necessary condition being to propel National Defense R&D Program. But, these necessity is yet not realized easily to many project managers of Defense Acquisition Program Administration(DAPA). As one person of DAPA project manager, system engineering hard to approaches easily by the word itself. There are a lot of difficult sections where should apply how. This paper established DAPA Project Manager and Acquisition Point of Contact of demand Military by main customer (reader), and wished to make understood more easily and approach system engineering application to these. Also, this paper studied project management example that scientific project management techniques of Earned Value Management(EVM) and Cost As an Independent Variable(CAIV) etc. is taken abuzz in DAPA inside by Project management technique that become reform, arc Integrated in system engineering.

• Journal of the Korean Society of Systems Engineering
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• v.19 no.2
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• pp.135-144
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• 2023

Artificial Intelligence (AI) is a prominent topic in almost every field. In Korea, Systems Engineering (SE) procedures are applied in Defense Acquisition, and it is anticipated that SE procedures will also be applied to systems incorporating AI capabilities. This study explores the applicability of the concepts "AI4SE (AI for SE)" and "SE4AI (SE for AI)," which have been proposed in the United States, to the Korean context. The research examines the feasibility of applying these concepts, identifies necessary tasks, and proposes implementation strategies. For the AI4SE, many attempts and studies applying AI to SE Processes both Requirements & Architectures Define, System implementation & V&V, and Sustainment. It needs Explainability and Security. For the SE4AI, the Functional AI implementation level, Quality & Security of the Data-set, AI Ethics, and Review policies are needed. Furthermore, it provides perspectives on how these two concepts should ultimately converge and suggests future directions for development.

• IE interfaces
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• v.25 no.3
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• pp.347-356
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• 2012

The acquisition cost of defense weapon system has been continuously increasing because of art-of-technology of it. This phenomenon requires efficiency and transparency in the weapon system acquisition process through cost estimation. Therefore cost estimation is very important to the government acquisition programs to support decisions about funding and to evaluate resource requirement as a key decision point. The Commercial parametric cost estimating models have been using extensively to obtain appropriate cost estimates in early acquisition phase. These models have many restrictions to ensure the cost estimating result in Korean defense environment because they are developed based on foreign R&D data. Also estimation results are different from Korean defense industry accounting system. So, some studies have been tried to develop a CER (Cost Estimation Relationship) based on the Korean historical data. However, there are some restrictions to improve the predictability and ensure the stability of the developed singular CERs which consider the following data characteristics individually. The the abnormal conditions of data that is multicollinearity, outlier and heteroscedasticity under rack of the number of observations. In this paper, a CER's Linear Combining Model is proposed to overcome those limitations which guarantee more accurate estimation (25.42% higher precision) than other singular CERs. At least, this study is meaningful as a first attempt to improve the predictability of CER with insufficient data. The methodology suggested in this study will be useful to develop a complex Korean version cost estimating model development in future.