Architectural research

  • 제12권2호
  • /
  • Pages.85-92
  • /
  • 2010
  • /
  • 1229-6163(pISSN)
  • /
  • 2383-5575(eISSN)
대한건축학회 (Architectural Institute of Korea)
권호 표지
DOI QR코드

DOI QR Code

A Knowledge-based Fuzzy Multi-criteria Evaluation Model of Construction Robotic Systems

  • Yoo, Wi-Sung (Construction Management Division, Construction and Economy Research Institute of Korea)
  • 투고 : 2009.12.08
  • 발행 : 2010.12.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In recent years, construction projects have been forced to cope with lack of skilled labor and increasing hazard circumstance of human operations. A construction robotic system has been frequently accomplished as one alterative for overcoming these difficulties in increasing construction quality, enhancing productivity, and improving safety. However, while the complexity of such a system increases, there are few ways to carry out an assessment of the system. This paper introduces a knowledge-based multi-criteria decision-making process to assist decision makers in systematically evaluating an automated system for a given project and quantifying its system performance index. The model employs linguistic terms and fuzzy numbers in attempts to deal with the vagueness inherent in experts' or decision makers' subjective opinions, considering the contribution resulted from their knowledge on a decision problem. As an illustrative case, the system, called Robotic-based Construction Automation, for constructing steel erection of high-rise buildings was applied into this model. The results show the model's capacities and imply the application to other extended types of construction robotic systems.

키워드

참고문헌

  1. Berry, M.J.A. and Linoff, G.S. (1997) "Data mining techniques" John Wiley & Sons, Inc.
  2. Buckley, J.J. (1985) "Fuzzy hierarchy analysis" Fuzzy Sets and Systems, 17, 233-247. https://doi.org/10.1016/0165-0114(85)90090-9
  3. Chan, A.P.C., Yung, E.H.K., Lam, P.T.I., Tam, C.M., and Cheung, S.O. (2001) "Application of Delphi method in selection of procurement systems for construction projects" Construction Management and Economics, 19(7), 699-718. https://doi.org/10.1080/01446190110066128
  4. Chen, C.T. (2000) "Extension of the TOPSIS for group decision-making under fuzzy environment" Fuzzy Sets and Systems, 114, 1-9. https://doi.org/10.1016/S0165-0114(97)00377-1
  5. Do, H-.M., Kim, Y-.S., Kim, B-.K., Lee, G., and Yun, S-.H. (2009) "Recognition of localization of steel frame material using scan matching method for automation of steel construction" Journal of the Architectural Institute of Korea, 25(3), 93-100.
  6. Fedorowicz, J., Oz, E., and Berger, P.D. (1992) "A Learning Curve Analysis of Expert System Use" Decision Science, 23, 797-818. https://doi.org/10.1111/j.1540-5915.1992.tb00420.x
  7. Ham, Y-.B., Kwon, S-.W., Noh, J-.H., Han, J-.G., and Kim, K-.T. (2006) "Development of road stripe removing equipment using high-pressure water jet" Automation in Construction, 15, 578-588. https://doi.org/10.1016/j.autcon.2005.06.017
  8. Hadipriono, F.C. (1987) "Fuzzy Set Concepts for Evaluating Performance of Constructed Facilities" Journal of Performance of Constructed Facilities, 2(4), 209-225.
  9. Hsiao, J. (1994) "A comparison of construction automation in major constraints and potential techniques for automation in the united states" MIT, M.S. thesis, Boston.
  10. Ikeda, Y. and Harada, T. (2006) "Application of the automated building construction system using the conventional construction method together" ISARC 2006, 722-727.
  11. Karwowski, W., and Mital, A. (1986) "Potential applications of fuzzy sets in industrial safety engineering" Fuzzy sets and Systems, 19, 105-120. https://doi.org/10.1016/0165-0114(86)90031-X
  12. Kim, D-.W., An, S-.H., Cho, H., Jeong, J-.W., Lee, B-.H., Doh, N.L., and Kang, K-.I. (2009) "Development of conceptual model of construction factory for automated construction" Building and Environment, 44, 1634-1642. https://doi.org/10.1016/j.buildenv.2008.10.009
  13. Kim, Y.S., Jung, M.H., Cho, Y.K., Lee, J., and Jung, U. (2007) "Conceptual Design and Feasibility Analyses of a Robotic System for Automated Exterior Wall Painting" Internal Journal of Advanced Robotic Systems, 4(4), 417-430.
  14. Lee, J-.H., Yoo, H-.S., Kim, Y-.S., Lee, J-.B., and Cho, M-.Y. (2006) "The development of a machine visionassisted teleoperated pavement crack sealer" Automation in Construction, 15, 616-626. https://doi.org/10.1016/j.autcon.2005.06.018
  15. Lloyd, R.A. (1979) "Experience curve analysis" Applied Economics, 11, 221-234. https://doi.org/10.1080/758529064
  16. Mahdi, I.M. and Alreshaid, K. (2005) "Decision support system for selecting the proper project delivery method using analytical hierarchy process (AHP)" International Journal of Project Management, 23(3), 564-572. https://doi.org/10.1016/j.ijproman.2005.05.007
  17. Pan, N-.F. (2008) "Fuzzy AHP approach for selecting the suitable bridge construction method" Automation in Construction, 17, 958-965. https://doi.org/10.1016/j.autcon.2008.03.005
  18. Ross, T.J. (1995) "Fuzzy logics with engineering applications" New York, McGraw-Hill.
  19. Saaty, T.L. (1980) "The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation" New York, McGraw Hill.
  20. Tanijiri, H., Ishiguro, B., Arai, T., Yoshitake, R., Kato, M., Morishima, Y., and Takasaki, N. (1997) "Development of automated weather-unaffected building construction system" Automation in Construction, 6, 215-227. https://doi.org/10.1016/S0926-5805(97)00005-8
  21. Wakisaka, T., Furuya, N., Inoue, Y., and Shiokawa, T. (2000) "Automated construction system for high-rise reinforced concrete buildings" Automation in Construction, 9, 229-250. https://doi.org/10.1016/S0926-5805(99)00039-4
  22. Wardhana, K. and Hadipriono, F.C. (2003) "Analysis of recent bridge failures in the United States" Journal of Performance of Constructed Facilities, 17(3), 144-150. https://doi.org/10.1061/(ASCE)0887-3828(2003)17:3(144)
  23. Woo, S., Hong, D., Lee, W-.C., Chung, J-.H., and Kim, T-.H. (2008) "A robotic system for road lane painting" Automation in Construction, 17, 122-129. https://doi.org/10.1016/j.autcon.2006.12.003
  24. Yamazaki, Y. and Maeda, J. (1998) "The SMART system: an integrated application of automation and information technology in the production process" Computers in Industry, 35, 87-99. https://doi.org/10.1016/S0166-3615(97)00086-9
  25. Yager, R.R. (1982) "Fuzzy sets and possibility theory" Oxford, Pergamon Press.
  26. Zeng, J., An, M., and Smith, M.J. (2007) "Application of a fuzzy based decision making methodology to construction project risk management" International Journal of Project Management, 25, 589-600. https://doi.org/10.1016/j.ijproman.2007.02.006