Neural Network Model for Estimating Construction Productivity
- 1 December 1997
- journal article
- Published by American Society of Civil Engineers (ASCE) in Journal of Construction Engineering and Management
- Vol. 123 (4), 399-410
- https://doi.org/10.1061/(asce)0733-9364(1997)123:4(399)
Abstract
The paper describes an approach developed to estimate construction productivity for concrete formwork tasks. The system utilizes artificial neural networks, historical information, and input from experienced superintendents employed by a leading construction general contractor. It also summarizes a study undertaken to determine factors that affect labor productivity, the survey conducted to collect relevant data, and the design, training, and implementation of artificial neural networks at the participating company. A number of alternative neural network structures were investigated, the adopted one was a three-layered network with a fuzzy output structure. It was found that this structure provided the most suitable model since much of the input was subjective. A brief overview of the computer implementations and the overall experience with the system development is also provided. The method was compared to an existing statistical model developed by the same contractor and was found to improve the quality of the estimates attained. A case study conducted in the context of a workshop with senior estimators is also presented.Keywords
This publication has 7 references indexed in Scilit:
- Estimating Construction Productivity: Neural‐Network‐Based ApproachJournal of Computing in Civil Engineering, 1994
- Neuromodex—Neural Network System for Modular Construction Decision MakingJournal of Computing in Civil Engineering, 1994
- Neural Networks in Civil Engineering. II: Systems and ApplicationJournal of Computing in Civil Engineering, 1994
- Computerized Daily Site ReportingJournal of Construction Engineering and Management, 1993
- Evaluation of Advanced Construction Technology with AHP MethodJournal of Construction Engineering and Management, 1992
- Factors Affecting Masonry‐Labor ProductivityJournal of Construction Engineering and Management, 1991
- Neural Networks as Tools in ConstructionJournal of Construction Engineering and Management, 1991