Technical Papers
Oct 12, 2015

A Fuzzy-Based Integrated Framework for Assessing Time Contingency in Construction Projects

Publication: Journal of Construction Engineering and Management
Volume 142, Issue 3

Abstract

Assessing time contingency is an important part of construction project scheduling because it helps generate a more reliable schedule. Traditionally, the assessment is made using expert judgment and inherently inserted to the estimated activity duration and/or comprehensively placed at the project level. This practice has a major drawback in that project-specific risks that require time contingency are not explicitly identified and treated. Risk management is performed in isolation to project scheduling. This paper presents a new framework for assessing the time contingency required for activities exposed to multiple risks. Fuzzy set theory is employed to model the imprecision and vagueness associated with the possibility of risk occurrence and the impact of those risks on activity durations. Alternative risk responses can be explored and their impacts on the project duration can be evaluated. A real-life case example was used to demonstrate the application of the framework. The results indicate that risk management can systematically be incorporated into scheduling. The impact of multiple risks on activity time contingency can effectively be estimated. The robustness of the schedule can be enhanced through iterative response planning. The newly developed framework thus provides construction planners with a practical tool for proactively assessing the impact of the project-specific risks on major milestones and project deadlines. This study advances the current practice of time contingency estimations by introducing an integrated approach for risk management and project scheduling. It also advances the application of fuzzy sets theory in assessing impact on activity durations subjected to multiple risks.

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References

AbouRisk, S. M., and Halpin, D. W. (1992). “Statistical properties of construction duration data.” J. Constr. Eng. Manage., 525–544.
Ahuja, H. N., and Nandakumar, V. (1985). “Simulation model to forecast project completion time.” J. Constr. Eng. Manage., 325–342.
Barraza, G. A. (2011). “Probabilistic estimation and allocation of project time contingency.” J. Constr. Eng. Manage., 259–265.
Bonnal, P., Gourc, D., and Lacoste, G. (2004). “Where do we stand with fuzzy project scheduling?” J. Constr. Eng. Manage., 114–123.
Chan, A. P. C., Chan, D. W. M., and Yeung, J. F. Y. (2009). “Overview of the application of fuzzy techniques in construction management research.” J. Constr. Eng. Manage., 1241–1252.
Chrysafis, K., and Papadopoulos, B. (2014). “Possibilistic moments for the task duration in fuzzy PERT.” J. Manage. Eng., 04014071.
Diaz, C. F., and Hadipriono, F. C. (1993). “Nondeterministic networking methods.” J. Constr. Eng. Manage., 40–57.
Dubois, D., and Prade, H. (1988). Possibility theory: An approach to computerized processing of uncertainty, 1st Ed., Plenum Press, New York, 33–72.
Khamooshi, H., and Cioffi, D. F. (2013). “Uncertainty in task duration and cost estimates: Fusion of probabilistic forecasts and deterministic scheduling.” J. Constr. Eng. Manage., 488–497.
Khisty, C. J., and Mohammadi, J. (2001). Fundamental of systems engineering with economics, probability and statistics, Prentice Hall, Upper Saddle River, NJ.
Lorterapng, P., and Moselhi, O. (1996). “Project-network analysis using fuzzy theory.” J. Constr. Eng. Manage., 308–318.
Ma, G., Wang, A., Li, N., Gu, L., and Ai, Q. (2014). “Improved critical chain project management framework for scheduling construction projects.” J. Constr. Eng. Manage., 04014055.
Mulholland, B., and Christian, J. (1999). “Risk assessment in construction schedules.” J. Constr. Eng. Manage., 140(12), 1–12.
Oliveros, A., and Fayek, A. (2005). “Fuzzy logic approach for activity delay analysis and schedule updating.” J. Constr. Eng. Manage., 42–51.
Park, M., and Peña-Mora, F. (2004). “Reliability buffering for construction projects.” J. Constr. Eng. Manage., 626–637.
PMI (Project Management Institute). (2012). A guide to the project management body of knowledge, 5th Ed., PMI, Newtown Square, PA.
Touran, A. (2003). “Probabilistic model for cost contingency.” J. Constr. Eng. Manage., 280–284.
Zadeh, L. A. (1965). “Fuzzy sets.” Inf. Control., 8(3), 338–353.
Zayed, T., Mohamed, D., Srour, F., and Tabra, W. (2013). “Assessing time contingency of construction projects using simulation-based analytic hierarchy process.” Int. J. Archit. Eng. Constr., 2(4), 259–270.
Zhao, Z., You, W., and Zuo, J. (2010). “Application of innovative critical chain method for project planning and control under resource constraints and uncertainty.” J. Constr. Eng. Manage., 1056–1060.

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 142Issue 3March 2016

History

Received: Oct 21, 2014
Accepted: Aug 19, 2015
Published online: Oct 12, 2015
Published in print: Mar 1, 2016
Discussion open until: Mar 12, 2016

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Authors

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Paijit Pawan [email protected]
Ph.D. Candidate, Dept. of Civil Engineering, King Mongkut’s Univ. of Technology Thonburi, Pracha u-tid Rd., Bangkok 10140, Thailand. E-mail: [email protected]
Pasit Lorterapong [email protected]
Assistant Professor, Graduate School of Management and Innovation, King Mongkut’s Univ. of Technology Thonburi, Pracha u-tid Rd., Bangkok 10140, Thailand (corresponding author). E-mail: [email protected]

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