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Automated estimation of completion time for dam projects

Version 2 2024-06-13, 12:18
Version 1 2019-05-07, 09:53
journal contribution
posted on 2024-06-13, 12:18 authored by H Golizadeh, S Banihashemi, AN Sadeghifam, C Preece
An accurate estimation of construction duration for the successful completion of infrastructure projects is as important a task as keeping a project within the stipulated budget and quality. This research aims at developing an automated approach for estimating the duration of construction for dam projects by virtue of artificial neural network (ANN). Through literature searches and expert interviews, variables that critically influence the construction of dam projects were identified. A wide range of data on Iranian dam projects was used to develop seven ANN models. Different datasets were used to achieve the best performance by assessing the RMSE and R2values as the reliability and validity indicators. Finally, a web-based automated prototype was developed and validated in order for stakeholders to estimate the duration of dam projects based on the ANN method and benefit from better infrastructure project management practices.

History

Journal

International journal of construction management

Volume

17

Pagination

197-209

Location

Abingdon, Eng.

eISSN

1562-3599

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2016, Informa UK Limited, trading as Taylor & Francis Group

Issue

3

Publisher

Taylor & Francis