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기술 평가 및 선정을 위한 AHP와 DEA 통합 활용 방법: 청정기술에의 적용

Integrated AHP and DEA method for technology evaluation and selection: application to clean technology

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주제분류경영학

초록

Selecting promising technology is becoming more and more difficult due to the increased number and complexity. In this study, we propose hybrid AHP/DEA-AR method and hybrid AHP/DEA-AR-G method to evaluate efficiency of technology alternatives based on ordinal rating data collected through survey to technology experts in a certain field and select efficient technology alternative as promising technology. The proposed method normalizes rating data and uses AHP to derive weights to improve the credibility of analysis, then in order to avoid basic DEA models' problems, use DEA-AR and DEA-AR-G to evaluate efficiency of technology alternatives. In this study, we applied the proposed methods to clean technology and compared with the basic DEA models. According to the result of the comparison, we can find that the both proposed methods are excellent in confirming most efficient technology, and hybrid AHP/DEA-AR method is much easier to use in the process of technology selection.

Abstract

Selecting promising technology is becoming more and more difficult due to the increased number and complexity. In this study, we propose hybrid AHP/DEA-AR method and hybrid AHP/DEA-AR-G method to evaluate efficiency of technology alternatives based on ordinal rating data collected through survey to technology experts in a certain field and select efficient technology alternative as promising technology. The proposed method normalizes rating data and uses AHP to derive weights to improve the credibility of analysis, then in order to avoid basic DEA models' problems, use DEA-AR and DEA-AR-G to evaluate efficiency of technology alternatives. In this study, we applied the proposed methods to clean technology and compared with the basic DEA models. According to the result of the comparison, we can find that the both proposed methods are excellent in confirming most efficient technology, and hybrid AHP/DEA-AR method is much easier to use in the process of technology selection.

참고문헌 (42)

  1. Andersen, P, "A procedure for ranking efficient units in data envelopment analysis", Management Science, 39, pp.1261~1264 (1993)
  2. Allen, R., "Weights restrictions and value judgements in data envelopment analysis: Evolution, development and future directions", Annals of Opertations Research, 73, pp.3~34 (1997)
  3. Abbas, A., "Information technology project evaluation: Anintegrated data envelopment analysis and balanced scorecard approach", Expert Systems with Applications, 37, pp.5931~5938 (2010)
  4. Bowen, W. M., "Subjective judgements and data envelopment analysis in site selection", Computers, Environment and Urban Systems, 14(2), pp.133~144 (1990)
  5. Banker, R.D., "Some models for estimating technical and scale inefficiencies in data envelopment analysis", Management science, 30, pp.1078~1092 (1984)
  6. Charnes, A., "Measuring the efficiency of decision making units", European Journal of Operational Research, 2(6), pp.429~444 (1978)
  7. Chang, S.C., "Returns to scale in DEA models for performance evaluations", Technological Forecasting and Social Change, 78, pp.1389~1396 (2011)
  8. Daddario, E., "Technology Assessment, Subcommittee on science, research, and development of the committee on science and astronautics", U.S. Congress, ~ (1968)
  9. Ertay, T., "Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing systems", Information Sciences, 176(3), pp.237~262 (2006)
  10. Hajeeh, M., "Application of the analytical hierarchy process in the selection of desalination plants", Desalination, 174(1), pp.97~108 (2005)
  11. Ho, J.C., "Technology evaluation in Taiwan's technology industries: strategies, trajectories, and innovations", Technological Forecasting and Social Change, 78, pp.1379~1388 (2011)
  12. Hsu, Y.L., "The application of Fuzzy Delphi Method and Fuzzy AHP in lubricant regenerative technology selection", Expert System with Applications, 37, pp.419~425 (2010)
  13. Hwang, C.L., "Multiple attribute decision making: methods and applications" (1981), Springer
  14. James, F., "Technology, the technology complex and the paradox of technological determinism", Technology Analysis and Strategic management, 13(4), pp.523~531 (2001)
  15. Karsak, E.E., "Practical common weight multi-criteria decision-making approach with an improved discriminating power for technology selection", International Journal of Production Research, 44, pp.1537~1554 (2005)
  16. Kong W.H., "Assessing the performance of business colleges in Taiwan using data envelopment analysis and students based value-added performance indicators", Omega, 40, pp.541~549 (2012)
  17. Khorramshahgol, R., "Delphic hierarchy process (DHP): a methodology for priority setting derived from the Delphi method and analytical hierarchy process", European Journal of Operational Research, 37(3), pp.347~354 (1988)
  18. 김순영, "AHP를 이용한 국방연구개발사업 메타평가 지표개발", 지식경영연구, 10(2), pp.65~84 (2009), 한국지식경영학회
  19. 김관열, "특허맵과 AHP를 활용한 최적의 LCD 저온폴리실리콘 결정화 기술 선정", 지식경영연구, 12(1), pp.39~52 (2011), 한국지식경영학회
  20. Lamb, M., "Industrial concerns in technology selection", Paper presented at the meeting of the Portland International Conference on Management of Engineering and Technology (1997)
  21. Lee, S.K, "Measuring the relative efficiency of hydrogen energy technologies for implementing the hydrogen economy: An integrated fuzzy AHP", DEA approach, 2011, pp.36, 12655~12663
  22. 이정숙, "DEA와 AHP를 혼용한 소프트웨어공학 지원도구 평가 모형 연구", 한국IT서비스학회지, 8(2), pp.173~182 (2009), 한국IT서비스학회
  23. Moutaz, K., "The use of data envelopment analysis for technology selection", Computers and Industrial Engineering, 28(1), pp.123~132 (1995)
  24. Malladi, S., "Decision support methods for the selection of internet access technologies in rural communities", Telematics and Informatics, 22(3), pp.201~219 (2005)
  25. Roll, Y., "Alternate methods of treating factor weights in DEA", Omega, 21(1), pp.99~109 (1993)
  26. Ryu, J., "Technology level evaluation methodology based on the technology growth curve", Technological Forecasting and Social Change, 78, pp.1049~1059 (2011)
  27. Raju, U.S., "The influence of Development perspectives on the choice of technology", Technological Forecasting and Social Change, 48, pp.27~43 (1995)
  28. Saaty, T.L., "The analytic hierarchy process" (1980), McGraw-Hill
  29. Shen, Y.C., "A hybrid selection method for emerging technology", Technological Forecasting and Social Change, 77, pp.151~166 (2010)
  30. Shang, J., "A unified framework for the selection of a Flexible Manufacturing System", European Journal of Operational Research, 85(2), pp.297~315 (1995)
  31. Seifert, L. M., "Identifying excesses and deficits in Chinese industrial productivity (1953-1990): A weighted data envelopment analysis approach", Omega, 26(2), pp.279~296 (1998)
  32. Sharon, M.O., "Fuzzy logic and evaluation of advanced technologies", Industrial Management and Data Systems, 108(7), pp.928~946 (2008)
  33. Sinuany-Stern, Z., "An AHP", DEA methodology for ranking decision making units, 2000, pp.7(2), 109~124
  34. Saen, R.F., "A decision model for technology selection in the existence of both cardinal and ordinal data", Applied Mathematics and Computation, 181, pp.1600~1608 (2006)
  35. 성웅현, "중소벤처기업의 기술가치평가를 위한 할인츌 추정에 관한 연구", 지식경영연구, 6(1), pp.19~32 (2005), 한국지식경영학회
  36. Torkkeli, M., "The contribution of technology selection to core competencies", International Journal of Production Economics, 77(3), pp.271~284 (2002)
  37. Thompson, R.G., "Comparative site evaluations for locating a high-energy physics lab in Texas", Interfaces, 16, pp.35~49 (1986)
  38. Takamura, Y., "A comparative site evaluation study for relocating Japanese government agencies out of Tokyo", Socio-Economic Planning Sciences, 37(2), pp.85~102 (2003)
  39. Tran, T.A., "A taxonomic review of methods and tools applied in technology assessment", Technological Forecasting and Social Change, 75(9), pp.1396~1405 (2008)
  40. Taylor, W.M., "DEA", AR efficiency and profitability of Mexican banks: A total income method, 1997, pp.98, 346~363
  41. Winebrake, J.J., "The future of hydrogen fueling systems for transportation: an application of perspective-based scenario analysis using the analytic hierarchy process", Technological Forecasting and Social Change, 70(4), pp.359~384 (2003)
  42. Zhang, X.S., "A project evaluation system in the state economic information system of China: An operations research practice in public sectors", International Transactions in Operational Research, 6(5), pp.441~452 (1991)

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