• OpenAccess
  • Applying Analytic Network Process to the Selection of Construction Projects  [EBM 2016]
  • DOI: 10.4236/jss.2016.43007   PP.41 - 47
  • Author(s)
  • Jeng-Hsiang Lin, Chien-Jou Yang
  • Selecting a construction project is relatively complex as it involves multi-criteria decision-making (MCDM). To solve this problem, this study used the fuzzy Delphi method to identify six key factors of influence on selection outcomes and established evaluation criteria based on these factors. After employing analytic network process (ANP) to identify relationships between the objective, the evaluation criteria and the candidate projects, this study developed a decision-making model to resolve the difficulty of selecting an optimum construction project and conducted weighted analysis of the candidate projects using the quantitative procedures of ANP. Lastly, an empirical case study was used to verify the proposed method. The results of this study show that ANP can be used to build an effective decision-making model capable of analyzing candidate construction projects and selecting the optimal one.

  • Analytic Network Process, Fuzzy Delphi Method, Construction Project, MCDM
  • References
  • [1]
    Okpala, D.C. (1991) Evaluation and Selection of Construction Projects in Nigeria. Construction Management and Economics, 9, 51-61.
    Wong, E.T.T., Norman, G. and Flanagan, R. (2000) A Fuzzy Stochastic Technique for Project Selection. Construction Management and Economics, 18, 407-414.
    Cheng, E.W.L. and Li, H. (2005) Analytic Network Process Ap-plied to Project Selection. Journal of Construction Engineering and Management, 131, 459-466.
    Saaty, T.L. (1996) Decision Making with Depen-dence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh, Pennsylvania.
    Kaufmann, A. and Gupta, M.M. (1988) Fuzzy Mathematical Models in Engineering and Management Science. Elsevier Science Pub-lishers, North-Holland, Amsterdam, N.Y.
    Ishikawa, A., Amagasa, T., Tamizawa, G., Totsuta, R. and Mieno, H. (1993) The Max-min Delphi Method and Fuzzy Delphi Method via Fuzzy Integration. Fuzzy Sets and Systems, 55, 241-253.
    Jeng, T.B. (2001) Fuzzy Assessment Model for Maturity of Software Organization in Improving Its Staff's Capability. Ph.D. Dissertation, National Taiwan University of Science and Technology, Taipei, Taiwan.

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