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Analyzing the Performance of Defense R&D Projects based on DEA

자료포락분석을 활용한 국방핵심기술 연구개발사업의 성과 분석

  • Lim, Yonghwan (Technology Planning Bureau, Defense Agency for Technology and Quality) ;
  • Jeon, Jeonghwan (Department of Industrial & Systems Engineering/ERI, Gyeongsang National University)
  • 임용환 (국방기술품질원 기술기획본부) ;
  • 전정환 (국립경상대학교 산업시스템공학부)
  • Received : 2018.10.22
  • Accepted : 2019.01.09
  • Published : 2019.02.05

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.

Keywords

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Fig. 1. 3-Stage DEA model

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Fig. 2. Research framework

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Fig. 3. Performance model

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Fig. 4. Mapping results on performance model

Table 1. Overview of defense R&D projects

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Table 2. Previous studies using DEA model

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Table 3. Previous studies on the efficiency analysis of defense sector

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Table 4. Variables

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Table 5. Classification by R&D type

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Table 6. Classification by 8-technology sector

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Table 7. Statistics of data

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Table 8. Results of correlation analysis

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Table 9. Analysis results by stages

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Table 10. Comparison of statistics by efficient DMUs

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Table 11. Spearman correlation analysis results by stages

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Table 12. Analysis results by R&D type

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Table 13. Analysis results by 8-technology sector

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Table 14. Performance by type of R&D according to performance type

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Table 15. Performance by 8-technology sector according to performance type

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Table 16. Results of Correlation analysis in tobit variables

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Table 17. Results of tobit regression analysis

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