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Choi, K, Lee, H W, Bae, J and Bilbo, D (2016) Time-Cost Performance Effect of Change Orders from Accelerated Contract Provisions. Journal of Construction Engineering and Management, 142(03).

Farnsworth, C B, Warr, R O, Weidman, J E and Mark Hutchings, D (2016) Effects of CM/GC Project Delivery on Managing Process Risk in Transportation Construction. Journal of Construction Engineering and Management, 142(03).

Klanšek, U (2016) Mixed-Integer Nonlinear Programming Model for Nonlinear Discrete Optimization of Project Schedules under Restricted Costs. Journal of Construction Engineering and Management, 142(03).

Lee, K, Han, S H, Park, H and David Jeong, H (2016) Empirical Analysis of Host-Country Effects in the International Construction Market: An Industry-Level Approach. Journal of Construction Engineering and Management, 142(03).

Lee, S and Yu, J (2016) Comparative Study of BIM Acceptance between Korea and the United States. Journal of Construction Engineering and Management, 142(03).

Li, T H Y, Thomas Ng, S and Skitmore, M (2016) Modeling Multi-Stakeholder Multi-Objective Decisions during Public Participation in Major Infrastructure and Construction Projects: A Decision Rule Approach. Journal of Construction Engineering and Management, 142(03).

Moon, S, Choi, E and Hong, S (2016) Creation of Robust Design Alternatives for Temporary Construction in Value Engineering. Journal of Construction Engineering and Management, 142(03).

Pawan, P and Lorterapong, P (2016) A Fuzzy-Based Integrated Framework for Assessing Time Contingency in Construction Projects. Journal of Construction Engineering and Management, 142(03).

  • Type: Journal Article
  • Keywords: Risk management; Time contingency; Fuzzy set; Scheduling; Activity duration; Cost and schedule;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001073
  • 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.

Sonmez, R, Iranagh, M A and Uysal, F (2016) Critical Sequence Crashing Heuristic for Resource-Constrained Discrete Time–Cost Trade-Off Problem. Journal of Construction Engineering and Management, 142(03).

Zhang, L and El-Gohary, N M (2016) Epistemology-Based Context-Aware Semantic Model for Sustainable Construction Practices. Journal of Construction Engineering and Management, 142(03).

Zhang, L, Cheng, J and Fan, W (2016) Party Selection for Integrated Project Delivery Based on Interorganizational Transactive Memory System. Journal of Construction Engineering and Management, 142(03).