Formula for Determining the Construction Workers Productivity Including Environmental Factors
Faculty of Civil Engineering, Cracow University of Technology, Warszawska 24, 31-155 Kraków, Poland
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Buildings 2019, 9(12), 240; https://doi.org/10.3390/buildings9120240
Received: 31 October 2019 / Revised: 16 November 2019 / Accepted: 23 November 2019 / Published: 26 November 2019
(This article belongs to the Special Issue Construction Management – Future Innovations, Methods, Techniques and Technologies)
The aim of this study is to build a mathematical model of the productivity of construction workers. It does so by selecting 17 factors that influence the productivity of construction workers and categorising them into five groups. For the mathematical description of the factors, fuzzy logic was used. A formula for calculating the work productivity of construction workers is proposed. The novelty of the approach proposed by the authors is rooted in the consideration of various factors that have the potential to influence the productivity of construction workers. To present the way the formula operates, a single assessment of ceiling formwork was undertaken. The verification of a model confirmed its capability of analyzing, evaluating, and predicting the productivity of construction workers with satisfying accuracy.
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Keywords:
workers productivity; construction; fuzzy logic; environmental factors; labour
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MDPI and ACS Style
Malara, J.; Plebankiewicz, E.; Juszczyk, M. Formula for Determining the Construction Workers Productivity Including Environmental Factors. Buildings 2019, 9, 240. https://doi.org/10.3390/buildings9120240
AMA Style
Malara J, Plebankiewicz E, Juszczyk M. Formula for Determining the Construction Workers Productivity Including Environmental Factors. Buildings. 2019; 9(12):240. https://doi.org/10.3390/buildings9120240
Chicago/Turabian StyleMalara, Jarosław; Plebankiewicz, Edyta; Juszczyk, Michał. 2019. "Formula for Determining the Construction Workers Productivity Including Environmental Factors" Buildings 9, no. 12: 240. https://doi.org/10.3390/buildings9120240
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