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Manpower Allocation Model for Construction Site Office Engineers based on Inherent Technical Risks
Abstract Accurately predicting the costs of construction site overheads and preventing increases in unanticipated costs has a large effect on the cost competitiveness of a construction company. While site engineer costs account for the majority of construction site management costs, established manpower allocation standards will only account for the project size, and so poorly reflect inherent technological risks. Consequently, with risks mounting on-site as a project progresses, actual engineering manpower needs can exceed the planned ones. This study presents a method for improving the accuracy of construction site engineer allocation by reflecting such technological risks. Data from 31 case projects were analyzed to confirm problems regarding site engineer allocation and to quantify project risks. The regression models and correction rates to manpower allocation by engineering work type were derived from 28 of the case projects, while data from the three remaining projects were utilized to test the model’s validity. The results show strong correlation between the number of site engineers by work type and the project’s technical risks, affirming that these modes can be used to improve the accuracy of manpower estimation even in the early stages of construction planning.
Manpower Allocation Model for Construction Site Office Engineers based on Inherent Technical Risks
Abstract Accurately predicting the costs of construction site overheads and preventing increases in unanticipated costs has a large effect on the cost competitiveness of a construction company. While site engineer costs account for the majority of construction site management costs, established manpower allocation standards will only account for the project size, and so poorly reflect inherent technological risks. Consequently, with risks mounting on-site as a project progresses, actual engineering manpower needs can exceed the planned ones. This study presents a method for improving the accuracy of construction site engineer allocation by reflecting such technological risks. Data from 31 case projects were analyzed to confirm problems regarding site engineer allocation and to quantify project risks. The regression models and correction rates to manpower allocation by engineering work type were derived from 28 of the case projects, while data from the three remaining projects were utilized to test the model’s validity. The results show strong correlation between the number of site engineers by work type and the project’s technical risks, affirming that these modes can be used to improve the accuracy of manpower estimation even in the early stages of construction planning.
Manpower Allocation Model for Construction Site Office Engineers based on Inherent Technical Risks
Yang, Woo Jeong (Autor:in) / Kim, Yea Sang (Autor:in)
KSCE Journal of Civil Engineering ; 23 ; 947-957
21.01.2019
11 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Manpower Allocation Model for Construction Site Office Engineers based on Inherent Technical Risks
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