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Automated progress monitoring technological model for construction projects

Authors :
Abdul Hannan Qureshi
Wesam Salah Alaloul
Wong Kai Wing
Syed Saad
Muhammad Ali Musarat
Syed Ammad
Ahmed Farouk Kineber
Source :
Ain Shams Engineering Journal, Vol 14, Iss 10, Pp 102165- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Construction industry professionals admire the evolution of digital data-acquisition technologies in monitoring processes due to efficient and efficacious outcomes. However, due to a lack of theoretical insight towards the effective application of these technologies, hesitation has been observed for its adoption, which added a challenge to attaining the Industry 4.0 spirit. This study aims to improve a theoretical, statistically validated model, underlining the operational factors that enhance the performance of the digitized monitoring process. The study has followed the structural equation modeling (SEM) approach on identified 36 factors, which were colligated under four categories for developing the technological-based model. The attained model defines effective technological-based factors for implementing automated monitoring under ‘tracking & sensing’, ‘site video’, ‘3D scanner’, and ‘site images’. The significance of this model is a provision of a theoretical base to researchers and construction industry professionals in digitized progress monitoring technological operations and technical aspects towards enriched outcomes.

Details

Language :
English
ISSN :
20904479
Volume :
14
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Ain Shams Engineering Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.55165901eb64a979d0314e900d0b445
Document Type :
article
Full Text :
https://doi.org/10.1016/j.asej.2023.102165