Monitoring construction labour productivity by way of a smart technology approach
Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction
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Konstantinou, E., & Brilakis, I. (2019). Monitoring construction labour productivity by way of a smart technology approach. Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction, 172 (2), 70-82. https://doi.org/10.1680/jsmic.20.00014
Over the past decades, the construction industry lags further and further behind the manufacturing sector when productivity is considered. Current practices for managing labour productivity are labour intensive, time - cost consuming and error prone. They are mainly reactive processes initiated after the detection of a negatively influencing factor. Although research studies have been performed towards leveraging these limitations, a gap still exists in managing labour productivity of multiple workers at the same time accurately, unobtrusively, cost and time efficiently. This paper proposes a trajectory-based method to address this gap. Firstly, a computer vision-based method extracts the three-dimensional (3D) trajectories of workers. Secondly, a clustering-based method converts the 3D trajectories into work cycles that depict the labour input. The proposed method features an accuracy of 84% in terms of inferring the total labour time spent on construction-related tasks i.e. direct work.
External DOI: https://doi.org/10.1680/jsmic.20.00014
This record's URL: https://www.repository.cam.ac.uk/handle/1810/309304
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