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2022-01-01
Nguyen, Phuong, Fayek, Aminah Robinson, Hamzeh, Farook
Measurement of construction labor productivity involves various subjective factors (e.g., motivation, stress, and fatigue). Most measurement approaches for subjective factors in productivity applications require manual data collection (e.g., questionnaires, interviews, and observations);...
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Framework for integrating an artificial neural network and a genetic algorithm to develop a predictive model for construction labor productivity.
Download2020-01-01
Ebrahimi, Sara, Raoufi, Mohammad, Fayek, Aminah Robinson
Construction labor productivity (CLP) is one of the most important factors in the construction industry, as it has a direct effect on a company’s efficiency and profitability. The accurate prediction of CLP is essential for effective decision-making prior to project execution, and continuous...
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Framework to analyze construction labor productivity using fuzzy data clustering and multi-criteria decision-making
Download2020-01-01
Kazerooni, Matin, Raoufi, Mohammad, Fayek, Aminah Robinson
Construction labor productivity (CLP) has a significant impact on the performance and profitability of construction projects. A construction project can benefit from improved labor productivity in many ways, such as a shorter project life cycle and lower project cost. However, budget and resource...