Creating A Fuzzy Logic Model for Early Assessment o Payment Problems in Construction Projects In Iraq

  • Authors

    • Ibrahim A. Al-Asadi
    • Zeyad S. M. Khaled
    • Afrah M.H. Kashkool
    https://doi.org/10.14419/ijet.v7i4.20.25912

    Received date: January 15, 2019

    Accepted date: January 15, 2019

    Published date: November 28, 2018

  • Construction projects, Fuzzy logic, Payment problems.

  • Abstract

    The aim of this research is to create a fuzzy logic model that can aid in assessing payment problems encountered in construction projects in Iraq. The model was created based on the findings of a previous study of the authors in which (67) causes of payment problems in construction projects in Iraq were identified. The causes were ranked by (72) professionals from (38) Iraqi firms based on the frequency and severity of causes. All causes were employed in the model after categorizing them in four groups: owner-related, contractor-related, consultant-related and external causes. The model was constructed using MATLAB Program Software Version 2. Finally the model was tested against (10) real life projects and found to be appropriate to aid owners and contractors in the Iraqi Construction Industry to early assess payment problems in order to take preventive actions.

  • References

    1. Sambas, I. M., and Soon, Y. W., (2007), “Causes and Effects of Delays in Malaysian Construction Industry”, International Journal of Project Management, Vol. 25, Issue 5, pp. 517-526.
    2. Wu, J., Kumaraswamy, M. M., and Soo, G., (2008), “Payment Problems and Regulatory Responses in the Construction Industry: Mainland China Perspective”, Journal of Professional Issues in En-gineering Education and Practice, Vol. 134, Issue 4, pp. 399-407.
    3. El-Sawalhi, N., and Nasser, A. H., (2015), “Support Vector Ma-chine to Measure the Risk of Payment Delay on Construction Pro-jects in Gaza Strip”, Islamic University of Gaza, Journal of Natural Studies, Vol. 23, Issue 2, pp. 41-55.
    4. Kaliba, C., and Muya, M., and Mumba, K., (2009), “Cost Escala-tion and Schedule Delays in Road Construction Projects in Zambia”, International Journal of Project Management, Vol. 27, Issue 5, pp. 522-531.
    5. Shull, P. (2006), “Project Evaluation Using Fuzzy Logic and Risk Analysis Techniques”, MSc Thesis, University of Puerto Rico, Ma-yaguez (Puerto Rico).
    6. Sivanandam, S. N, Deepa, S. N, and Sumathi, S., (2007), “Intro-duction to Fuzzy Logic using MATLAB” Springer-Verlag Berlin Heidelberg.
    7. Al-Asadi, I. A., (2017), “Assessment of Payment Problems in the Iraqi Construction Sector” MSc thesis, Department of Building and Construction Engineering, University of Technology, Iraq.
    8. Cheng Min-Yuan and Roy A. F. V., (2010), “Evolutionary Fuzzy Decision Model for Cash-Flow Prediction Using Time-Dependent Support Vector Machines” International Journal of Project Man-agement, Vol. 29, Issue 1, pp. 56-65.
    9. Liang, Tien-Fu, Huang, Tien-Shou and Yang, Ming-Feng, (2011), “Application of Fuzzy Mathematical Programming to Imprecise Project Management Decisions”, Springer Science Business Media B.V., Vol. 46, Issue 5, pp. 1451-1470.
    10. Rashidi A., Jazebi, F. and Brilakis, L., (2011) “Neuro-Fuzzy Genet-ic System for Selection of Construction Project Managers” Journal of Construction Engineering and Management Vol. 137, Issue 1, pp. 17-29.
    11. Kishore, V., Abraham, D.M. and Sinfield, J. V., (2011), “Portfolio Cash Assessment Using Fuzzy Systems Theory” Journal of Con-struction Engineering and Management, Vol. 137, Issue 5, pp. 333-343
    12. Gunduz, M., Nielsen, Y. and Özdemir, M, (2011), “Fuzzy Assess-ment Model to Estimate the Probability of Delay in Turkish Con-struction Projects” Journal of Management in Engineering, Vol. 31, Issue 4, pp. 1-14.
    13. Fuzzy Logic Toolbox™ 2 User’s Guide (2008), MATLAB, The Math Works, Inc.
    14. Öztürk, F., (2006), “The Fuzzy Logic Modelling of AASHTO 1986 Flexible Pavement Design Procedure”, MSc Thesis, Suleyman De-mirel University, Sparta, Turkey.
    15. Zeng, J., An, M., and Smith, N. J. (2007), “Application of a Fuzzy Based Decision Making Methodology to Construction Project Risk Assessment”, International Journal of Project Management, Vol. 25, Issue 6, pp. 589-600.

  • Downloads

  • How to Cite

    A. Al-Asadi, I., S. M. Khaled, Z., & M.H. Kashkool, A. (2018). Creating A Fuzzy Logic Model for Early Assessment o Payment Problems in Construction Projects In Iraq. International Journal of Engineering and Technology, 7(4.20), 123-127. https://doi.org/10.14419/ijet.v7i4.20.25912