Delay assessment of construction site activities using Bayesian Networks: Case study

Authors

DOI:

https://doi.org/10.18041/1900-3803/entramado.2.8006

Keywords:

Bayesian networks, Delay factors, Artificial intelligence, Construction management

Abstract

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.

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Author Biographies

  • Guillermo Mejía-Aguilar, Universidad Industrial de Santander, Bucaramanga -Colombia

    Civil Engineer, with doctorate studies in construction project management from the University of Alabama -USA. Former Fulbrigth scholar. Professor at the School of Civil Engineering of the Universidad Industrial de Santander, Bucaramanga - Colombia. Associate Researcher, system of the Ministry of Science of Colombia; linked to the Research Group in Materials and Building Structures (INME) of the School of Civil Engineering UIS. Areas of research and teaching performance: a) analysis and improvement of construction processes; b) analysis and improvement of control systems for construction projects; and c) analysis and improvement of methodologies for teaching and learning in construction engineering. Member and Education Director of the Association for the Advancement of Cost Engineering AACE -Colombia. Academic Director of AACE Latin America Region. Member of the Santandereana Society of Engineers SSI.

  • Jaime Andrés Gutiérrez-Prada, Universidad Industrial de Santander (UIS), Bucaramanga -Colombia

    Civil Engineer and candidate for a Master's Degree in Civil Engineering from the Universidad Industrial de Santander (UIS), Bucaramanga - Colombia. Researcher endorsed by the Research Group on Construction Materials and Structures (INME) of the School of Civil Engineering UIS.

  • Oscar Portilla-Carreño

    Civil Engineer and candidate for a Master's degree in Civil Engineering from Universidad Industrial de Santander (UIS), Bucaramanga, Santander. Colombia Researcher endorsed by the Research Group in Construction Materials and Structures (INME) of the School of Civil Engineering UIS. Member of the Santander Society of Engineers SSI.

  • Brayan Medina-Martínez, Universidad Industrial de Santander (UIS), Bucaramanga - Colombia.

    Civil Engineer and candidate for a Master's Degree in Civil Engineering at the Universidad Industrial de Santander (UIS), Bucaramanga - Colombia. Researcher endorsed by the Research Group in Materials and Building Structures (INME) of the School of Civil Engineering UIS. 

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