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Framework for developing labour-hour prediction models from project design features: case study in structural steel fabrication.
- Source :
-
Canadian Journal of Civil Engineering . Oct2019, Vol. 46 Issue 10, p871-880. 10p. 2 Black and White Photographs, 5 Diagrams, 9 Charts, 1 Graph. - Publication Year :
- 2019
-
Abstract
- Assigning labour-hours to a certain scope of work during design and estimating is still more of an art than a science. This research proposes a data-driven approach that uses multiple linear regression (MLR) and available historical data from building information models (BIM) to associate project labour-hours and project design features. The framework relies on an enhanced version of stepwise regression technique to select the most relevant predictive factors and generate a predictive model without compromising the achievable accuracy of regression. The framework also encompasses analytical methods for justifying MLR application, validating the resulting model, and establishing range estimates for point-value predictions. In collaboration with an industry partner, the framework application is exemplified by analyzing labour-hours and design features for structural steel fabrication, leading to the creation of a valid MLR model in the simplest form. Finally, pros and cons for the proposed framework and opportunities for future research are discussed. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03151468
- Volume :
- 46
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Canadian Journal of Civil Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 138939580
- Full Text :
- https://doi.org/10.1139/cjce-2018-0349