Abstract

MEJIA-AGUILAR, Guillermo; GUTIERREZ-PRADA, Jaime Andrés; PORTILLA-CARRENO, Oscar Humberto  and  MEDINA-MARTINEZ, Brayan Alberto. Delay assessment of construction site activities using Bayesian networks: Case study. Entramado [online]. 2022, vol.18, n.2, e216.  Epub Oct 17, 2022. ISSN 1900-3803.  https://doi.org/10.18041/1900-3803/entramado.2.8006.

The concurrence of multiple factors adversely affects construction project performance, resulting in delays. Mitigating such factors is challenging for the industry because solutions must include dependence and influence. Hence, managers must consider their systemic and integrated influence on the construction process for tracking projects. This study aimed to evaluate the influence of delay factors on the duration of construction site activities using Bayesian network techniques. Based on the design-based research methodology and the application in a case study this study proposed a method that involves three steps. First, identifying the main delay factors affecting construction activities; second, designing an influencing model as a Bayesian network; and third, estimating the integrated influence of such factors by simulating the Bayesian network. The results showed how a Bayesian network could support the construction team in managing the construction-site activities and making decisions about the performance of the construction process.

Keywords : Bayesian networks; Delay factors; Delay Bayesian assessment.

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