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Architectural Institute of Korea (대한건축학회)
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A Progress-based Expert System for Quantitative Assessments of Project Delay

  • Yoo, Wi Sung (BK21 Initiative for Global Leaders in Construction Engineering, Korea University)
  • Received : 2007.06.29
  • Published : 2008.06.30
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Abstract

Construction projects have frequently exceeded their schedule despite reliable estimates at the start of a project. This problem was attributed to unpredictable causes at the beginning and to shortage of proper tools to accurately predict project completion date. To supplement this difficulty, project managers need a comprehensive system that can be employed to monitor the progress of an ongoing project and to evaluate potential delay for achieving the goal on time. This paper proposed a progressive-based expert system for quantitative assessments of project delay at the early stages of the execution. Furthermore, the system is used to inspect the change of the uncertainty on completion date and its magnitude. The proposed expert system is helpful for furnishing project managers a warning signal as a project is going behind schedule and for tracking the changed uncertainty at a desired confidence level. The main objectives of this paper are to offer a new system to overcome the difficulties of conventional forecasting tools and to apply a construction project into the system to illustrate its effectiveness. This paper focuses on construction phase of project development and is intended for the use by project managers.

Keywords

References

  1. Alkass, S., Mazerolle, M., and Harris, F. (1996) 'Construction delay analysis techniques' Construction Management and Economics, Vol. 14, No. 5, pp. 375-394 https://doi.org/10.1080/014461996373250
  2. Al-Tabtabai, H., Kartam, N., Flood, I., and Alex, A.P. (1997) 'Expert judgment in forecasting construction project completion' Engineering Construction and Architectural Management, Vol. 4, No. 4, pp. 271-293 https://doi.org/10.1046/j.1365-232X.1997.t01-1-00002.x
  3. Fleming, Q.W. and Koppelman, J.M. (2002) 'Using Earned Value Management' Cost Engineering, Vol. 44, No. 9, pp. 32-36
  4. Franses, P.H. (1994) 'A Method to Select Between Gompertz and Logistic Trend Curves' Technological Forecasting and Social Change, Vol. 46, pp. 45-49 https://doi.org/10.1016/0040-1625(94)90016-7
  5. Joglekar, N.R. and Ford, D.N. (2005) 'Product development resource allocation with foresight' European Journal of Operational Research, Vol. 160, pp. 72-87 https://doi.org/10.1016/j.ejor.2003.06.021
  6. Jung, Y.S. and Kang, S.H. (2007) 'Knowledge-Based Standard Progress Measurement for Integrated Cost and Schedule Performance Control' Journal of Construction Engineering and Management, Vol. 133, No. 1, January, pp. 10-21 https://doi.org/10.1061/(ASCE)0733-9364(2007)133:1(10)
  7. McGartland, M. and Hendrickson, C. (1985) 'Expert System for Construction Project Monitoring' The Journal of Construction Engineering and Management, Vol. 111, No. 3, pp. 293-307 https://doi.org/10.1061/(ASCE)0733-9364(1985)111:3(293)
  8. Meade, N. (1985) 'Forecasting Using Growth Curves - An Adaptive Approach' The Journal of the Operational Research Society, Vol. 36, No. 12, pp. 1103-1115 https://doi.org/10.2307/2582342
  9. Pugh, L.A. and Soden, R.G. (1986) 'Use of risk analysis techniques in assessing the confidence of project cost estimates and schedules' Project Management, Vol. 4, No. 3, August pp. 158-162 https://doi.org/10.1016/0263-7863(86)90047-5
  10. Rad, P.F. (2003) 'Project Success Attributes' Cost Engineering, Vol. 45, No. 4, April, pp. 23-29
  11. Ramgopal, M. (2003) 'Project Uncertainty Management' Cost Engineering, Vol. 45, No. 12, pp. 21-24
  12. Wentworth, E.P. (1990) 'Introduction to Functional Programming using Gofer' Technical paper, Parallel Processing Group, Rhodes University
  13. Yoo, W.S. and Hadipriono, F.C. (2007) 'An Informationbased Forecasting Model for Project Progress and Completion Date using Bayesian Inference' Korea Institute of Construction Engineering and Management, Vol. 8, No. 4, pp. 203-213