This paper reports the development of an approach to integrate the appropriate modeling techniques for estimating the effect of\nproject quality management (PQM) on construction performance. This modeling approach features a causal structure that depicts\nthe interaction among the PQM factors affecting quality performance in a given construction operation. In addition, it makes use\nof fuzzy sets and fuzzy logic in order to incorporate the subjectivity and uncertainty implicit in the performance assessment of these\nPQM factors to discrete-event simulation models. The outcome is a simulation approach that allows experimenting with different\nperformance levels of the PQM practices implemented in a construction project and obtaining the corresponding productivity\nestimates of the construction operations. These estimates are intended to facilitate the decisionmaking regarding the improvement\nof a PQM system implemented in a construction project. A case study is used to demonstrate the usefulness of the proposed\nsimulation approach for evaluating diverse performance improvement alternatives for a PQM system.
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