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Development of Framework for Effectiveness Measurement of LVC Synthetic Battlefield Training System

LVC 합성전장 훈련체계 효과도 측정 프레임워크 개발

  • Kwon, Kybeom (Department of Aerospace Engineering, Republic of Korea Air Force Academy) ;
  • Min, Seungin (Department of Aerospace Engineering, Seoul National University) ;
  • Yee, Kwanjung (Department of Aerospace Engineering, Seoul National University) ;
  • Seol, Hyeonju (School of Integrated National Security, Chungnam National University) ;
  • Oh, Jihyun (The 7th Research and Development Institute, Agency for Defense Development) ;
  • Sim, Inbo (The 7th Research and Development Institute, Agency for Defense Development)
  • 권기범 (공군사관학교 항공우주공학과) ;
  • 민승인 (서울대학교 항공우주공학과) ;
  • 이관중 (서울대학교 항공우주공학과) ;
  • 설현주 (충남대학교 국가안보융합학부) ;
  • 오지현 (국방과학연구소 제7기술연구본부) ;
  • 심인보 (국방과학연구소 제7기술연구본부)
  • Received : 2018.04.02
  • Accepted : 2018.08.10
  • Published : 2018.10.05

Abstract

The purpose of this study is to develop a systematic framework that can scientifically and quantitatively evaluate the effectiveness of an LVC training system. The proposed framework is based on QFD(Quality Function Development) methodology. The process of developing the framework begins with identifying various needs of stakeholders related to the introduction of the LVC training system. Then the effectiveness areas and factors are derived based on the needs. The measured effectiveness for each factors on alternatives by L, V, C systems are finally synthesized into the one overall effectiveness of each training system for relative comparison among them. In addition, we developed an Excel$^{TM}$-based tool based on the proposed framework methodology to provide an ease-of-use environment for rapid evaluation on the effectiveness of each training system with the given stakeholder need importance combinations, training scenarios and assets. The suggested framework and the measurement tool are expected to be useful for efficient knowledge-based decision making on an acquisition of the LVC training system.

Keywords

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