자료포락분석을 활용한 국방핵심기술 연구개발사업의 성과 분석Analyzing the Performance of Defense R&D Projects based on DEA
- Other Titles
- Analyzing the Performance of Defense R&D Projects based on DEA
- Authors
- 임용환; 전정환
- Issue Date
- 2019
- Publisher
- 한국군사과학기술학회
- Keywords
- Defense R&D Projects(국방연구개발); DEA(자료포락분석); Performance(성과); Performance Model(성과모형)
- Citation
- 한국군사과학기술학회지, v.22, no.1, pp 106 - 123
- Pages
- 18
- Indexed
- KCI
- Journal Title
- 한국군사과학기술학회지
- Volume
- 22
- Number
- 1
- Start Page
- 106
- End Page
- 123
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/10505
- DOI
- 10.9766/KIMST.2019.22.1.106
- ISSN
- 1598-9127
2636-0640
- Abstract
- Demand for performance analysis is increasing for efficient use of limited budgets such as improving investment efficiency and strategic budget allocation in accordance with the continuous increase demand of R&D budget for developing advanced weapon systems in the future battlefields. In accordance with the Act on the Performance Evaluation and Performance Management of the National R&D Projects established in March 2006, the performance analysis has been conducted for the systematic management and utilization of the R&D project performance. It was recognized as a project to achieve self-defense through strengthening the weapons system development capability, however, efficiency evaluation of Defense R&D projects was not much emphasized. Research on the efficiency analysis of defense R&D projects has been conducted in recent years, but most studies focused on corporate efficiency and productivity of defense companies. In this study, we analyzed the three-stage performance of defence R&D projects based on the logical model using the data envelope analysis(DEA) model. We also analyzed performance analysis from various perspectives through R&D type, technology classification and performance model. This study is expected to help defense department improve defense R&D projects and make decision.
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Collections - 공과대학 > Department of Industrial and Systems Engineering > Journal Articles

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