Search
Skip to Search Results- 419Civil and Environmental Engineering, Department of
- 265Civil and Environmental Engineering, Department of/Structural Engineering Reports
- 124Civil and Environmental Engineering, Department of/Research Materials (Civil & Environmental Engineering)
- 24Civil and Environmental Engineering, Department of/Presentations (Civil & Environmental Engineering)
- 7Geotechnical and Geoenvironmental Engineering Program
- 6Civil and Environmental Engineering, Department of/Masonry Chair Reports
- 37Fayek, Aminah Robinson
- 35Kulak, Geoffrey L.
- 33Grondin, Gilbert Y.
- 29Alireza Nouri
- 21Simmonds, S. H.
- 18Driver, Robert G.
-
-
1994
MacGregor, James G.(James Grierson),1934-, Ibrahim, Hisham H. H.(Hisham Hassan Hossny)
Structural engineering report SER 196 | SER-ID SER196
-
2003
Das, Sreekanta., Murray, David W., Cheng, Roger J. J.
Structural engineering report SER 247 | SER-ID SER247
-
1993
Simmons, Sidney H., Mulenga, Michael N. (Michael Nshumfwa)
Structural engineering report SER 183 | SER-ID SER183
-
2009-10-01
Grondin, Gilbert Y., MacPhedran, Ian
Structural engineering report SER 283 | SER-ID SER283
-
Framework for Identification of Factors Affecting Construction Crew Motivation and Performance
Download2018-01-01
Raoufi, Mohammad, Fayek, Aminah Robinson
Construction researchers have long had difficulties identifying motivational factors and situational and contextual factors affecting crew motivation and performance. The two main objectives of this paper are to define a methodology to identify the factors affecting construction crew motivation...
-
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...
-
2022-01-01
Kedir, Nebiyu S., Raoufi, Mohammad, Fayek, Aminah Robinson
Previous studies have identified motivation as one of the most important factors affecting the efficiency of labor utilization in construction processes. However, there is a lack of research on simulating the impact of motivation on labor productivity to track and devise productivity improvement...
-
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...