Journal of Construction Engineering and Project Management

Korea Institute of Construction Engineering and Management (한국건설관리학회)
권호 표지
DOI QR코드

DOI QR Code

A Fuzzy AHP Model for Selection of Consultant Contractor in Bidding Phase in Vietnam

  • Ha, Tran Thanh (University of Technology, National University of Hochiminh City) ;
  • Hoai, Long Le (Faculty of Civil Engineering, University of Technology, National University of Hochiminh City) ;
  • Lee, Young Dai (Dept. of Civil and Construction Engineering, Pukyong National University)
  • Published : 2015.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

Project Management Consultant (PMC) plays a vital role in the overall performance of any project. Selecting right PMC for right project is the most crucial challenge for any construction owner. Thus, PMC selection is one of the main decisions made by owners at the early phase of construction project. It is not easy for the project owner to select a competent PMC due to the fuzziness, imprecision, vagueness, incomplete and qualitative criteria of the decision. This paper presents a model for selecting PMC contractor using the Fuzzy Analytical Hierarchy Process (FAHP). And a fuzzy number based framework is proposed to be a viable method for PMC contractor selection. A case study to illustrate the application of the model is also presented in this paper.

Keywords

References

  1. Al-Harbi, K. M. A.S., "Application of the AHP in project management", Int. J. Proj. Manage, 19(1), pp. 19-27, 2001. https://doi.org/10.1016/S0263-7863(99)00038-1
  2. Nieto-Morote, A., Ruz-Vila, F., "A fuzzy multi-criteria decisionmaking model for construction contractor prequalification", Automation in Construction, 25, pp. 8-19, 2012. https://doi.org/10.1016/j.autcon.2012.04.004
  3. Boroushaki, S., Malczewski, J., "Implementing an Extension of the Analytical Hierarchy Process using Order Weighted Averaging Operators with Fuzzy", Quantifiers ArcGIS Computers and Geoscience. 34, pp. 399 - 410, 2008. https://doi.org/10.1016/j.cageo.2007.04.003
  4. Chan, A.P.C., Scott, D., Chan, A.P.L., "Factor affecting the success of a construction Project", Journal of Construction Engineering and Management, ASCE, 130, pp. 153-155, 2004. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:1(153)
  5. Cheng, E. W. L., and Li, H., "Contractor selection using the analytical network process", Constr. Manage. Econ., 22(10), pp. 1021-1032, 2004. https://doi.org/10.1080/0144619042000202852
  6. Deng, H., "Multicriteria analysis with fuzzy pairwise comparison", International Journal of Approximate Reasoning, 21(3), pp. 215-231, 1999. https://doi.org/10.1016/S0888-613X(99)00025-0
  7. Fong, P. S.-W., and Choi, S. K.-Y., "Final contractor selection using analytical hierarchy process", Constr. Manage. Econom., 18, pp. 547-557, 2000. https://doi.org/10.1080/014461900407356
  8. Hatush, Z., and Skitmore, M., "Contractor selection using multicriteria utility theory: An additive model", Build. Environ., 33(2-3), pp. 105-115, 1998. https://doi.org/10.1016/S0360-1323(97)00016-4
  9. Hipel, K. W., Radford, K. J., and Fang, L., "Multiple participant multiple criteria decision making", IEEE Trans. Syst. Man Cybern. 23, pp. 1184-1189, 1993. https://doi.org/10.1109/21.247900
  10. Holt, G. D., "Which contractor selection methodology?" Int. J. Proj. Manage., 16(3), pp. 153-164, 1998. https://doi.org/10.1016/S0263-7863(97)00035-5
  11. Hwang, C.L., and Yoon, K., Multiple attribute decision making: methods and applications, Springer, New York, 1981.
  12. San Cristobal, J.R., "Contractor Selection Using Multicriteria Decision-Making Methods", Journal of Construction Engineering and Management, ASCE, 138, pp. 751-758, 2012. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000488
  13. Lam, K.C., Hu, T., Ng, S.T., Skitmore, M., Cheung, S.O., "A fuzzy neural network approach for contractor prequalification", Construction Management and Economics, 19(2), pp. 175-188, 2001. https://doi.org/10.1080/01446190150505108
  14. Kaufmann, A., and Gupta, M. M., Introduction to fuzzy arithmetic theory and application, Van Nostrand Reinhold, New York, 1991.
  15. Lambopoulos, S.,"The use of time and cost utility for construction contract award under European Union legislation", Build. Environ., 42(1), pp. 452-463, 2007. https://doi.org/10.1016/j.buildenv.2005.08.002
  16. Liou, T.S., and Wang, M.J.J., "Ranking Fuzzy numbers with Integral value", Fuzzy Sets & Systems, 50, pp. 247-255, 1992. https://doi.org/10.1016/0165-0114(92)90223-Q
  17. Madhi, I., Riley, M., Fereig, S., and Alex, A., "A multi-criteria approach to contractor selection", Eng. Constr. Archit. Manage., 9(1), pp. 29-37, 2002.
  18. Marzouk,M., "An application of ELECTRE III to contractor selection" Construction Research Congress 2010
  19. Meixner, O., Fuzzy AHP group decision analysis and its application for the evaluation of energy sources. Proceedings of the Proceedings of the 10th International Symposium on the Analytic Hierarchy/Network Process, Pittsburtgh/PA, USA, 2009.
  20. Ng, S.T. and Skitmore, R.M., "Client and consultant perspectives of prequalification criteria", Building and Environment, 34, pp. 607-21, 1999. https://doi.org/10.1016/S0360-1323(98)00050-X
  21. Nguyen.V.U., "Tender evaluation by fuzzy sets", Journal of Construction Engineering and Management, 111(3), pp. 231- 243, 1985. https://doi.org/10.1061/(ASCE)0733-9364(1985)111:3(231)
  22. Ofori, G.,Ling, Y.Y., and Sui, P.L., "Evaluation and selection of consultants for design-build projects", Project Management Journal, 34.1, 2003.
  23. Nguyen, D.L., Ogunlala, S.O. and Lan, D.T.X., "A study on Project success factors in large construction projects in Vietnam" Engineering, Construction and Architecture Management, 11(6), pp. 404-413, 2004. https://doi.org/10.1108/09699980410570166
  24. Russell, J. S., and Skibniewski, M. J., "Decision criteria in contractor prequalification", J. Manage. Eng.,4(2), pp. 148-164, 1988. https://doi.org/10.1061/(ASCE)9742-597X(1988)4:2(148)
  25. Saaty, T.L., The analytic hierarchy process. New York NY: McGraw Hill, 1980.
  26. Saaty, T L. and Kearns K P., Analytical Planning - The organizations of Systems. Pergamon Press, New York, 19-62, 1985.
  27. Singh,D and Tiong, R.L.K., "A fuzzy decision framework for Contractor Selection", Journal of Construction Engineering and Management, ASCE Vol.131, pp. 62-70, 2005 https://doi.org/10.1061/(ASCE)0733-9364(2005)131:1(62)
  28. Ng, S.T., Kumaraswamy, M. and Chow, L.K., "Selecting Consultants through combined technical and fee assessment: A Hong Kong Study", Association of Researchers in Construction Management, Vol.1, 639-47, 2001.
  29. Tesfamariam, S., and Sadiq R., "Risk-based environmental decision-making using fuzzy analytic hierarchy process (FAHP)", Stochastic Environmental Research and Risk Assessment, 21(1), pp. 35-50, 2006. https://doi.org/10.1007/s00477-006-0042-9
  30. Topcu;Y.I., "A decision model proposal for construction contractor selection in Turkey", Build. Environ, 39(4), pp. 469- 481, 2004. https://doi.org/10.1016/j.buildenv.2003.09.009
  31. Trivedi. M. K.; Pandey, M. K., Bhadoria, S.S., "Prequalification of Construction Contractor using a FAHP", International Journal of Computer Applications, Vol. 28- No.10, 2011.
  32. Wong, C. H., "Contractor performance prediction model for the United Kingdom construction contractors: Study of logistic regression approach", J. Constr. Eng. Manage, 130(5), pp. 691- 698, 2004. https://doi.org/10.1061/(ASCE)0733-9364(2004)130:5(691)
  33. Li,Y.W., Nie, X.T., "Fuzzy Approach to Prequalifying Construction Contractors", Journal of Construction Engineering and Management, ASCE,Vol.133,No.1, 2007.
  34. Zadeh, L.A., "Fuzzy sets", Information and Control, 8(3), pp.338-353, 1965. https://doi.org/10.1016/S0019-9958(65)90241-X

Cited by

  1. Application of Fuzzy Preference–Analytic Hierarchy Process Logic in Evaluating Sustainability of Transportation Infrastructure Requiring Multicriteria Decision Making vol.23, pp.4, 2017, https://doi.org/10.1061/(ASCE)IS.1943-555X.0000373