IE interfaces (산업공학)

Korean Institute of Industrial Engineers (대한산업공학회)
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A DEA/AHP Hybrid Model for The Budget Allocation of NRL Program

NRL 사업의 예산배분을 위한 DEA/AHP 혼합 모형

  • Nam, In-Suk (Korean Midland Power Co. LTD) ;
  • You, Tai-Woo (Department of Industrial & Information Systems Engineering, Chonbuk National University) ;
  • Ha, Jae-Won (Department of Industrial & Information Systems Engineering, Chonbuk National University) ;
  • Jeong, Byung-Ho (Department of Industrial & Information Systems Engineering, Chonbuk National University)
  • 남인석 (한국중부발전(주)) ;
  • 유태우 (전북대학교 산업정보시스템공학과) ;
  • 하재원 (전북대학교 산업정보시스템공학과) ;
  • 정병호 (전북대학교 산업정보시스템공학과)
  • Received : 2009.08.19
  • Accepted : 2010.02.01
  • Published : 2010.06.01
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Abstract

This paper suggests a DEA/AHP hybrid model to deal with an allocation problem of research budget for the national research lab(NRL) program. The qualitative factors are appraised by AHP model and the quantitative factors are dealt with DEA model to evaluate the performance of research activities considering tangible and intangible factors. The proposed hybrid model is applied to get the importance weight of research areas for research budget allocation of NRL program.

Keywords

References

  1. Kim, S. H., Jeong, B. H., and Kim, J. K. (1999), Decision analysis and application, Youngji Publishers.
  2. KISTEP (2003), National research lab(NRL) program information.
  3. KISTEP (2008), 2nd Science & Technology Basic Plan('08-'12).
  4. Nam, I. S, Song, Y. Y., and Jeong B. H. (2008), Analysis of Relative Efficiency of Government Funded Research Institute Using DEA Model, J. of the Soc. of Kor. Ind. & Sys. Eng., 31, 1-10.
  5. Portela, Silva and Thanssoulis, Emmanuel. (2001), Decomposing school and school-type efficiency, European Journal of Operational Research, 132, 357-373. https://doi.org/10.1016/S0377-2217(00)00157-0
  6. Chapman, Robert E. (1998), Using data envelopment analysis to assess performance of Manufacturing Extension Centers, NISTIR 6198.
  7. Charnes, A., Copper, W. W. and Rhodes, E. (1978) Measuring the efficiency of decision making units, European J. of Oper. Res., 2, 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
  8. Chien C. T., Chien, C. F., Lin, M. H., and Wang, J. T. (2004), Using DEA to Evaluate R&D Performance of the Computers and Peripherals Firms in Taiwan, Int. J. of Business, 9(4), 347-359.
  9. Cooper, R. G., Edgett, S. J., and Kleinschmidt, E. J. (1997a), Portfolio Management in New Product Development: Lessons from the Leaders-I, Research Technology Management, September-October, 16-28.
  10. Cooper, R. G., Edgett, S. J., and Kleinschmidt, E. J. (1997b), Portfolio Management in New Product Development : Lessons from the Leaders-II, Research Technology Management, November-December, 43-50.
  11. Cooper, W. W., Seiford, L. M., and Tone, K. (2006), Introduction To Data Envelopment Analysis and Its Uses, Springer.
  12. Dyson, R. G., Allen, R., and Camanho, A. S., Podinovski, V. V., Sarrico, C. S., and Shale, E. A. (2001), Pitfall and protocols in DEA, European Journal of Operational Research, 132, 245-259 https://doi.org/10.1016/S0377-2217(00)00149-1
  13. Johnston, Katharine and Gerard, Karen. (2001), Assessing efficiency in the U. K. breast screening programme: does size of screening unit make a difference, Health Policy, 56, 21-32. https://doi.org/10.1016/S0168-8510(00)00137-8
  14. Korhonen, Pekka, Tainio, Tainio, and Wellenius, Jyrki. (2001), Value efficiency analysis of academic research, European Journal of Operational Research, 130, 121-132. https://doi.org/10.1016/S0377-2217(00)00050-3
  15. Sinuany-Stern, Z. A. Mehrez and Hadad, Y. (2000), An AHP/DEA Methodology for Ranking Decision Making Units, International Transactions in Operational Research, 7, 109-124. https://doi.org/10.1111/j.1475-3995.2000.tb00189.x
  16. Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priorty Setting, Resource Allocation, New York: McGraw-Hill.
  17. Thanassoulis, Emmanuel and Simpson, Gary. (1999), Setting individual achievement targets with DEA, O. R. insight, 12(2), 2-7. https://doi.org/10.1057/ori.1999.6