산업공학 (IE interfaces)

  • 제17권3호
  • /
  • Pages.249-260
  • /
  • 2004
  • /
  • 1225-0996(pISSN)
  • /
  • 2234-6465(eISSN)
대한산업공학회 (Korean Institute of Industrial Engineers)
권호 표지

분류모형과 DEA를 이용한 두뇌한국(BK) 21 사업단 효율성 분석

Data Envelopment Analysis and Logistic Model for BRAIN KOREA 21

  • 손소영 (연세대학교 컴퓨터과학.산업시스템공학과) ;
  • 주용규 (연세대학교 컴퓨터과학.산업시스템공학과)
  • Sohn, So-Young (Department of Computer Science& Industrial Systems Engineering, Yonsei University) ;
  • Joo, Yong-Gyu (Department of Computer Science & Industrial Systems Engineering, Yonsei University)
  • 투고 : 2004.06.06
  • 심사 : 2004.09.13
  • 발행 : 2004.09.30
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초록

The objective of this study is to measure and to predict the efficiency of participating groups of BK 21 by using DEA. DEA is a methodology to measure and to evaluate the relative efficiency of a homogeneous set of decision-making units (DMUs) in a process which uses multiple inputs to produce multiple outputs. In order to reflect the effect of the environmental factors of BK 21, we consider not only a general DEA model but also a logistic model for DEA. As a result, location of participating groups of BK 21 turns out to be significant. Our proposed approach can predict the efficiency of a new BK 21 group with given environmental factors. It is expected that these models can give a feedback for effective management of BK 21.

키워드

참고문헌

  1. 김우봉, 김우식 (2002), 국내 상장 제약회사의 경영 효율성 측정에 관한 연구 DEA모형의 동태적 적용, 경영학연구 31(6), 1747-1762
  2. 한국학술진흥재단(2003), 두뇌한국21사업 중간평가결과 보고서, 대한민국
  3. 홍봉영 (2003), DEA를 이용한 소매점의 효율성측정 , 경영학연구 32(2), 429-448
  4. 최홍, 손소영 (1999), DEA를 이용한 공대 학과별 효율성 비교 연구, 공학교육연구 2(1), 29-38
  5. Adler, N, Friedman, L., Stern, Z.(2002), Review of ranking methods in the data envelopment analysis context, European Journal of Operational Research 140, 249-265
  6. Anderson, P., Peterson, N, C.(1993), A procedure for ranking efficient units in data envelopment analysis, Management Science 39, 1261-1264
  7. Banker, R. D., Charnes, A., and Cooper, W. W.(1984), Some models for estimating technical and scale efficiency in data envelopment analysis, Management Science 30, 1078-1092
  8. Charnes, A., Cooper, W. W., and Rhodes, H.(1978), Measuring the efficiency of decision making units, European Journal of Operational Research 2, 429-444
  9. Friedman, L, Sinuany-Scern, Z.(1996), Scaling units via the canonical correlation analysis in the DEA context, European Journal of Operational Research 100, 629-637
  10. Holgcr Schcel(2000), EMS: Eflieiency Measurement system User's Manual, (http://.www.wiso.uni-dortmund.de/lsfg/or/scheel/ems)
  11. SAS Institute Inc.(1999),SAS/STAT User's Guide,Version 8, Cary, NC