PROCESSO DE IMPLANTAÇÃO DO BIM PARA ANÁLISE DE PRODUTIVIDADE DA MÃO DE OBRA
Keywords:
Productivity, Progress Control, BIMAbstract
The productivity knowledge is essential for the estimation of the activities progress control crucial toolfor the successful management of construction projects. The article aims to show how Building Information Modeling (BIM) assists for the analysis of Unitary Ratio Production (RUP). Based on the company productivity database, besides BIM implementation process, an action-research project was started to evaluate the labor productivity follow-up with the help of a work-progress controlling software linked to BIM. With the aid of Information Technology (IT) it was possible to obtain the physical progress information straight from the model, to compare with the worked hours data registered by the organization and to visualize in the model which elements were executed in the moments that significant variation of the labor productivity occurs.. In this way it is possible to elaborate a precise planning according to reality as well as feedback the company database/information system. BIM has shown to be also useful for the construction planning and control of work.
References
ABDIRAD, H. Metric-based BIM implementation assessment: a review of research andpractice. Architectural Engineering and Design Management, v. 13, n. 1, p. 52 78,2017.
AZHAR, S.; AHMAD, I.; SEIN, M. K. Action Research as a Proactive Research Methodfor Construction Engineering and Management. Journal of Construction Engineeringand Management, v. 136, n. 1, p. 87 98, 2010.
BUENO, M. et al. 4-Plane congruent sets for automatic registration of as-is 3D pointclouds with 3D BIM models. Automation in Construction, v. 89, n. December 2017, p.120 134, 2018.
GOLZARPOOR, B.; HAAS, C. T.; RAYSIDE, D. Improving process conformance withIndustry Foundation Processes (IFP). Advanced Engineering Informatics, v. 30, n. 2, p.143 156, 2016.
LEE, J. et al. BIM-assisted labor productivity measurement method for structuralformwork. Automation in Construction, v. 84, n. December 2015, p. 121 132, 2017.
LU, W. et al. A Generic Model for Measuring Benefits of BIM as a Learning Tool inConstruction Tasks. Journal of Construction Engineering and Management, v. 139, n.February, p. 195 203, 2013.
PARK, H.-S.; THOMAS, S. R.; TUCKER, R. L. Benchmarking of Construction Productivity.
Journal of Construction Engineering and Management, v. 131, n. 7, p. 772 778, 2005.
POIRIER, E. A.; STAUB-FRENCH, S.; FORGUES, D. Measuring the impact of BIM on laborproductivity in a small specialty contracting enterprise through action-research.
Automation in Construction, v. 58, p. 74 84, 2015.
WANG, X.; CHONG, H. Y. Setting new trends of integrated Building InformationModelling (BIM) for construction industry. Construction Innovation, v. 15, n. 1, p. 2 6,2015.
YI, W.; CHAN, A. P. C. Critical review of labor productivity research in constructionjournals. Journal of management in engineering, v. 30, n. 2, p. 214 225, 2014.
ZHAO, T.; DUNGAN, J. M. Improved Baseline Method to Calculate Lost ConstructionProductivity. Journal of Construction Engineering and Management, v. 140, n. 2, p.06013006, 2014.
ZHAO, X. et al. Modelling paths of risks associated with BIM implementation inarchitectural, engineering and construction projects. Architectural Science Review,v. 60, n. 6, p. 472 482, 2017.
