Construction Labor Productivity Modeling with Neural Networks
Publication: Journal of Construction Engineering and Management
Volume 124, Issue 6
Abstract
Construction labor productivity is affected by several factors. Modeling of construction labor productivity could be challenging when effects of multiple factors are considered simultaneously. In this paper a methodology based on the regression and neural network modeling techniques is presented for quantitative evaluation of the impact of multiple factors on productivity. The methodology is applied to develop productivity models for concrete pouring, formwork, and concrete finishing tasks, using data compiled from eight building projects. The predictive behaviors of the models are compared with the previous productivity studies. Model results, advantages of the methodology, and study limitations are discussed.
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Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 124 • Issue 6 • December 1998
Pages: 498 - 504
Copyright
Copyright © 1998 American Society of Civil Engineers.
History
Published online: Dec 1, 1998
Published in print: Dec 1998
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