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Bashford, H H, Walsh, K D and Sawhney, A (2005) Production System Loading–Cycle Time Relationship in Residential Construction. Journal of Construction Engineering and Management, 131(01), 15–22.

Chen, Z, Li, H and Wong, C T C (2005) {[}EnvironalPlanning{]}: Analytic Network Process Model for Environmentally Conscious Construction Planning. Journal of Construction Engineering and Management, 131(01), 92–101.

Chester, M and Hendrickson, C (2005) Cost Impacts, Scheduling Impacts, and the Claims Process during Construction. Journal of Construction Engineering and Management, 131(01), 102–7.

Dzeng, R J, Tserng, H P and Wang, W C (2005) Automating Schedule Review for Expressway Construction. Journal of Construction Engineering and Management, 131(01), 127–36.

Elazouni, A M, Ali, A E and Abdel-Razek, R H (2005) Estimating the Acceptability of New Formwork Systems Using Neural Networks. Journal of Construction Engineering and Management, 131(01), 33–41.

Horman, M J and Kenley, R (2005) Quantifying Levels of Wasted Time in Construction with Meta-Analysis. Journal of Construction Engineering and Management, 131(01), 52–61.

Kaiser, M J, Pulsipher, A G and Byrd, R C (2005) Cost of Abrasive Cutting in Decommissioning Operations in the Gulf of Mexico. Journal of Construction Engineering and Management, 131(01), 137–48.

Kaiser, M J, Pulsipher, A G and Martin, J (2005) Cost of Site Clearance and Verification Operations in the Gulf of Mexico. Journal of Construction Engineering and Management, 131(01), 117–26.

Oliveros, A V O and Fayek, A R (2005) Fuzzy Logic Approach for Activity Delay Analysis and Schedule Updating. Journal of Construction Engineering and Management, 131(01), 42–51.

  • Type: Journal Article
  • Keywords: Computer aided scheduling; Construction management; Critical path method; Databases; Fuzzy sets; Project management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2005)131:1(42)
  • Abstract:
    This paper presents a fuzzy logic model that integrates daily site reporting of activity progress and delays, with a schedule updating and forecasting system for construction project monitoring and control. The model developed assists in the analysis of the effects of delays on a project’s completion date and consists of several components: An as-built database integrated with project scheduling; a list of potential causes for delays; a procedure to categorize delays; a method of estimating delay durations utilizing fuzzy logic; a procedure that updates the schedule; and, a procedure that evaluates the effects and likely consequences of delays on activity progress. This model is of relevance to researchers since it makes a contribution in project scheduling by developing a complete approach for handling the uncertainty inherent in schedule updating and activity delay analysis. It also advances the application of fuzzy logic in construction. It is of relevance to construction industry practitioners since it provides them with a useful technique for incorporating as-built data into the schedule, assessing the impact of delays on the schedule, and updating the schedule to reflect the consequences of delays and corrective actions taken. The use of fuzzy logic in the model allows linguistic and subjective assessments to be made, and thereby suits the actual practices commonly used in industry.

Singh, D and Tiong, R L K (2005) A Fuzzy Decision Framework for Contractor Selection. Journal of Construction Engineering and Management, 131(01), 62–70.

Tatum, C B (2005) Building Better: Technical Support for Construction. Journal of Construction Engineering and Management, 131(01), 23–32.

Yiu, C Y, Ho, H K, Lo, S M and Hu, B Q (2005) Performance Evaluation for Cost Estimators by Reliability Interval Method. Journal of Construction Engineering and Management, 131(01), 108–16.

Zhang, X (2005) Critical Success Factors for Public–Private Partnerships in Infrastructure Development. Journal of Construction Engineering and Management, 131(01), 3–14.

Zhang, X (2005) Paving the Way for Public–Private Partnerships in Infrastructure Development. Journal of Construction Engineering and Management, 131(01), 71–80.

Zheng, D X M, Ng, S T and Kumaraswamy, M M (2005) Applying Pareto Ranking and Niche Formation to Genetic Algorithm-Based Multiobjective Time–Cost Optimization. Journal of Construction Engineering and Management, 131(01), 81–91.