Learning Curves in Construction: A Critical Review and New Model
Publication: Journal of Construction Engineering and Management
Volume 142, Issue 4
Abstract
This paper brings forth from the literature a series of learning curve models and evaluates them through the lens of the construction industry. The review suggests that there is still no consensus on which model provides the best fit and predictability for construction data. As such, this paper puts forth a new model that is suitable for the modern construction industry as it accommodates for both mechanization and forgetting. The proposed model is similar to the Wright model (an exponential model of learning), but, through recursion, places more emphasis on recent data. The proposed model shows an error of less than 1% when predicting the cumulative average completion times in three out of four cases examined.
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© 2015 American Society of Civil Engineers.
History
Received: May 16, 2015
Accepted: Oct 2, 2015
Published online: Dec 16, 2015
Published in print: Apr 1, 2016
Discussion open until: May 16, 2016
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