Technical Notes
Dec 16, 2015

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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Information & Authors

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Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 142Issue 4April 2016

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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Authors

Affiliations

F. Jordan Srour, Ph.D. [email protected]
Assistant Professor, Dept. of IT and Operations Management, Lebanese American Univ., P.O. Box 13-5053, Chouran, Beirut 1102 2801, Lebanon (corresponding author). E-mail: [email protected]
Daoud Kiomjian [email protected]
Graduate Student, Engineering Management Program, American Univ. of Beirut, P.O. Box 1107-2020, Beirut, Lebanon. E-mail: [email protected]
Issam M. Srour, Ph.D., A.M.ASCE [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, American Univ. of Beirut, P.O. Box 1107-2020, Beirut, Lebanon. E-mail: [email protected]

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