Abstract: (9639 Views)
This research presents a dynamic mathematical system for modeling and simulating the quality management process in
construction projects. Through sets of cause and effect feedback loops, all factors that internally and externally affect the
quality management process are addressed. The proposed system integrates fuzzy logic with system dynamics simulation
scheme to consider the uncertainties associated with the model parameters and estimation of the extra cost and time due to
quality defects. Quantification of the consequences of the quality failures is performed based on the α-cut representation of
fuzzy numbers and interval analysis. The proposed approach is efficient in modeling and analyzing a quality management
process which is complex and dynamic in nature and involves various uncertainties. The proposed approach is implemented
in a real submarine water supply pipe line project in order to evaluate its applicability and performance. The negative impacts
resulting from quality failures are simulated. These negative impacts are mitigated by the implementation of alternative
solutions.