Automated monitoring technologies and construction productivity enhancement: Building projects case

Monitoring the construction productivity (CP) is significant for the success of construction projects as it helps to assess the project performance. This study aims to investigate the relation between automated monitoring (AM) technologies and CP enhancement. To achieve this, the different AM techno...

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Main Authors: Mhmoud Alzubi, K., Salah Alaloul, W., Malkawi, A.B., Al Salaheen, M., Hannan Qureshi, A., Ali Musarat, M.
Format: Article
Published: Ain Shams University 2023
Online Access:http://scholars.utp.edu.my/id/eprint/37473/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141978867&doi=10.1016%2fj.asej.2022.102042&partnerID=40&md5=177f0b7f66b6749081ba45c8ff826e82
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Institution: Universiti Teknologi Petronas
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spelling oai:scholars.utp.edu.my:374732023-10-04T13:17:29Z http://scholars.utp.edu.my/id/eprint/37473/ Automated monitoring technologies and construction productivity enhancement: Building projects case Mhmoud Alzubi, K. Salah Alaloul, W. Malkawi, A.B. Al Salaheen, M. Hannan Qureshi, A. Ali Musarat, M. Monitoring the construction productivity (CP) is significant for the success of construction projects as it helps to assess the project performance. This study aims to investigate the relation between automated monitoring (AM) technologies and CP enhancement. To achieve this, the different AM technologies that are used for monitoring in building projects, factors affecting CP, and factors of CP that can be monitored using AM were investigated and prioritized. A mixed methodology including a systematic review and analytic hierarchy process was adopted. Results provide that; CP factors can be detected and enhanced effectively by monitoring CP. Among the adopted AM technologies, vision-based (37) is the most effective one in monitoring CP. While workforce factors are the most important factors affecting CP. Also, in terms of factors monitored using AM technologies, factors within the workforce category come in the first place. Consonantly, it is rational to focus on monitoring these factors to enhance CP. © 2022 THE AUTHORS Ain Shams University 2023 Article NonPeerReviewed Mhmoud Alzubi, K. and Salah Alaloul, W. and Malkawi, A.B. and Al Salaheen, M. and Hannan Qureshi, A. and Ali Musarat, M. (2023) Automated monitoring technologies and construction productivity enhancement: Building projects case. Ain Shams Engineering Journal, 14 (8). ISSN 20904479 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141978867&doi=10.1016%2fj.asej.2022.102042&partnerID=40&md5=177f0b7f66b6749081ba45c8ff826e82 10.1016/j.asej.2022.102042 10.1016/j.asej.2022.102042 10.1016/j.asej.2022.102042
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Monitoring the construction productivity (CP) is significant for the success of construction projects as it helps to assess the project performance. This study aims to investigate the relation between automated monitoring (AM) technologies and CP enhancement. To achieve this, the different AM technologies that are used for monitoring in building projects, factors affecting CP, and factors of CP that can be monitored using AM were investigated and prioritized. A mixed methodology including a systematic review and analytic hierarchy process was adopted. Results provide that; CP factors can be detected and enhanced effectively by monitoring CP. Among the adopted AM technologies, vision-based (37) is the most effective one in monitoring CP. While workforce factors are the most important factors affecting CP. Also, in terms of factors monitored using AM technologies, factors within the workforce category come in the first place. Consonantly, it is rational to focus on monitoring these factors to enhance CP. © 2022 THE AUTHORS
format Article
author Mhmoud Alzubi, K.
Salah Alaloul, W.
Malkawi, A.B.
Al Salaheen, M.
Hannan Qureshi, A.
Ali Musarat, M.
spellingShingle Mhmoud Alzubi, K.
Salah Alaloul, W.
Malkawi, A.B.
Al Salaheen, M.
Hannan Qureshi, A.
Ali Musarat, M.
Automated monitoring technologies and construction productivity enhancement: Building projects case
author_facet Mhmoud Alzubi, K.
Salah Alaloul, W.
Malkawi, A.B.
Al Salaheen, M.
Hannan Qureshi, A.
Ali Musarat, M.
author_sort Mhmoud Alzubi, K.
title Automated monitoring technologies and construction productivity enhancement: Building projects case
title_short Automated monitoring technologies and construction productivity enhancement: Building projects case
title_full Automated monitoring technologies and construction productivity enhancement: Building projects case
title_fullStr Automated monitoring technologies and construction productivity enhancement: Building projects case
title_full_unstemmed Automated monitoring technologies and construction productivity enhancement: Building projects case
title_sort automated monitoring technologies and construction productivity enhancement: building projects case
publisher Ain Shams University
publishDate 2023
url http://scholars.utp.edu.my/id/eprint/37473/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141978867&doi=10.1016%2fj.asej.2022.102042&partnerID=40&md5=177f0b7f66b6749081ba45c8ff826e82
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