대한산업공학회지 (Journal of Korean Institute of Industrial Engineers)

  • 제43권2호
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  • Pages.100-111
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  • 2017
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  • 1225-0988(pISSN)
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  • 2234-6457(eISSN)
대한산업공학회 (Korean Institute of Industrial Engineers)
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연구품질 향상을 위한 프로세스 관점의 R&D 품질 진단 프레임워크 개발

R&D Quality Diagnosis Framework Focusing on R&D Process

  • 이민기 (한국에너지기술연구원 플랫폼연구센터) ;
  • 이해준 (KIS 채권평가 금융공학연구소) ;
  • 이종석 (성균관대학교 시스템경영공학과) ;
  • 신완선 (성균관대학교 시스템경영공학과) ;
  • 한근희 (한국에너지기술연구원 온실가스연구실) ;
  • 김덕환 (한국에너지기술연구원 플랫폼연구센터)
  • Lee, Min-Ki (R&D Platform Center, Korea Institute of Energy Research) ;
  • Lee, Hae-Jun (Research Institute of Financial Engineering, KISPricing. INC) ;
  • Lee, Jong-Seok (Department of System Management Engineering, SungKyunKwan University) ;
  • Shin, Wan-Seon (Department of System Management Engineering, SungKyunKwan University) ;
  • Han, Keun-Hee (Greenhouse Gas Laboratory, Korea Institute of Energy Research) ;
  • Kim, Deok-Hwan (R&D Platform Center, Korea Institute of Energy Research)
  • 투고 : 2016.11.03
  • 심사 : 2017.02.18
  • 발행 : 2017.04.15
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초록

Evaluating the performance of R&D Activity is complicated because it is hard to quantify the R&D results unlike the traditional manufacturing or service industries. Recently, to overcome this, process-focused evaluation methods applying the philosophy of quality into R&D environment have been introduced. However, these quality activities are mainly conducted without feedback system after the evaluation work is done. The aim of this study is to present a R&D quality diagnosis framework to obtain the improvement opportunities from R&D process perspective. The research is designed as follows : First, R&D standard process and R&D quality elements are derived from a literature review. Second, the diagnosis objects are obtained by investigating the R&D quality elements at each R&D steps. Third, a two-dimensional diagnosis model, which enables the objective measurement of the 'system compatibility' and 'accomplish level', is presented. The proposed method can provide an effective way to find opportunities for efficient quality improvement of R&D process.

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