Manpower Allocation Model for Construction Site Office Engineers based on Inherent Technical Risks

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 allo...

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Bibliographic Details
Published inKSCE journal of civil engineering Vol. 23; no. 3; pp. 947 - 957
Main Authors Yang, Woo Jeong, Kim, Yea Sang
Format Journal Article
LanguageEnglish
Published Seoul Korean Society of Civil Engineers 01.03.2019
Springer Nature B.V
대한토목학회
Subjects
Accuracy
Civil Engineering
Competitiveness
Construction
Construction companies
Construction costs
Construction engineering
Construction industry
Construction Management
Construction planning
Construction sites
Construction standards
Cost allocation
Costs
Engineering
Engineers
Geotechnical Engineering & Applied Earth Sciences
Industrial Pollution Prevention
Manpower
Model testing
Regression analysis
Regression models
Risk
토목공학
engineering manpower allocation
regression model for manpower allocation
site office engineers
engineering work type
inherent technical risks
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Summary: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.
ISSN:1226-7988
1976-3808
DOI:10.1007/s12205-019-0663-4