Fuzzy Logic Approach for Activity Delay Analysis and Schedule Updating
Publication: Journal of Construction Engineering and Management
Volume 131, Issue 1
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.
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Acknowledgments
The writers would like to acknowledge the support of the participating organization and its personnel who provided the case study project. They would also like to thank the reviewers, whose comments helped to greatly enhance this paper. This research was funded through an NSERC Discovery Grant held by Aminah Robinson Fayek.
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© 2004 ASCE.
History
Received: Mar 18, 2003
Accepted: Jan 12, 2004
Published online: Jan 1, 2005
Published in print: Jan 2005
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