Staff View: Potential of artificial intelligence (AI) implementation for improving bridge maintenance management: a case study on Malaysia

Potential of artificial intelligence (AI) implementation for improving bridge maintenance management: a case study on Malaysia – Singapore Second Link Expressway

Maintenance is the activity carried out to conserve, care for, operate, and regulate buildings, facilities, equipment, building services, infrastructure, and its environment to meet current standards and maintain the value of utilities and facilities to be safe to use. Based on previous studies, lac...

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Main Authors:	Zol, Nurul Athirah, Kasim, Narimah, Mohd Noh, Hamidun, Abd Rahim, Mohd Hilmi Izwan
Format:	Conference or Workshop Item
Language:	English
Published:	2024
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://eprints.uthm.edu.my/12128/1/P16880_e6dcee6a614d68f081a28e781b1a7fad.pdf%2017.pdf http://eprints.uthm.edu.my/12128/ https://doi.org/10.30880/rmtb.2024.05.01.079
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spelling	my.uthm.eprints.121282024-12-01T04:14:05Z http://eprints.uthm.edu.my/12128/ Potential of artificial intelligence (AI) implementation for improving bridge maintenance management: a case study on Malaysia – Singapore Second Link Expressway Zol, Nurul Athirah Kasim, Narimah Mohd Noh, Hamidun Abd Rahim, Mohd Hilmi Izwan TA Engineering (General). Civil engineering (General) Maintenance is the activity carried out to conserve, care for, operate, and regulate buildings, facilities, equipment, building services, infrastructure, and its environment to meet current standards and maintain the value of utilities and facilities to be safe to use. Based on previous studies, lack of funds and technology are weak factors in bridge maintenance management. The existing system cannot accommodate extensive data, and the data analysis time is extended. This case study focuses on the Bridge built to connect Malaysia and Singapore, the Malaysia - Singapore Second Link Expressway. The study investigated the potential use of Artificial Intelligence (AI) to improve maintenance management of the Malaysia-Singapore Second Link Expressway. This study aims to examine the current challenges of technology implementation in maintenance management and further discuss the potential performance of AI to improve maintenance management. The study used qualitative methods with a semi-structured interview approach. The respondents involved consisted of four people: the assistant director of operational monitoring, a civil engineer, and an assistant engineer from LLM and PLUS Berhad. The collected data was analyzed using content analysis to provide information from respondents on the potential implementation of AI to improve bridge maintenance management of the Malaysia - Singapore Second Link Expressway. The main finding is that researchers are aware of current technologies being implemented, such as BIM and IoT, along with the significant challenges faced, namely cultural clarity and technology. The second most essential findings leading to the potential implementation of AI are efficiency and effectiveness in the workplace, quality improvement, and product safety and enhancement. In conclusion, this research contributes to an in-depth understanding of technological practices, current challenges, and potential implementation of AI in improving bridge maintenance management for the Malaysia - Singapore Second Link Expressway 2024-06-30 Conference or Workshop Item PeerReviewed text en http://eprints.uthm.edu.my/12128/1/P16880_e6dcee6a614d68f081a28e781b1a7fad.pdf%2017.pdf Zol, Nurul Athirah and Kasim, Narimah and Mohd Noh, Hamidun and Abd Rahim, Mohd Hilmi Izwan (2024) Potential of artificial intelligence (AI) implementation for improving bridge maintenance management: a case study on Malaysia – Singapore Second Link Expressway. In: RESEARCH IN MANAGEMENT OF TECHNOLOGY AND BUSINESS. https://doi.org/10.30880/rmtb.2024.05.01.079
institution	Universiti Tun Hussein Onn Malaysia
building	UTHM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tun Hussein Onn Malaysia
content_source	UTHM Institutional Repository
url_provider	http://eprints.uthm.edu.my/
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Zol, Nurul Athirah Kasim, Narimah Mohd Noh, Hamidun Abd Rahim, Mohd Hilmi Izwan Potential of artificial intelligence (AI) implementation for improving bridge maintenance management: a case study on Malaysia – Singapore Second Link Expressway
description	Maintenance is the activity carried out to conserve, care for, operate, and regulate buildings, facilities, equipment, building services, infrastructure, and its environment to meet current standards and maintain the value of utilities and facilities to be safe to use. Based on previous studies, lack of funds and technology are weak factors in bridge maintenance management. The existing system cannot accommodate extensive data, and the data analysis time is extended. This case study focuses on the Bridge built to connect Malaysia and Singapore, the Malaysia - Singapore Second Link Expressway. The study investigated the potential use of Artificial Intelligence (AI) to improve maintenance management of the Malaysia-Singapore Second Link Expressway. This study aims to examine the current challenges of technology implementation in maintenance management and further discuss the potential performance of AI to improve maintenance management. The study used qualitative methods with a semi-structured interview approach. The respondents involved consisted of four people: the assistant director of operational monitoring, a civil engineer, and an assistant engineer from LLM and PLUS Berhad. The collected data was analyzed using content analysis to provide information from respondents on the potential implementation of AI to improve bridge maintenance management of the Malaysia - Singapore Second Link Expressway. The main finding is that researchers are aware of current technologies being implemented, such as BIM and IoT, along with the significant challenges faced, namely cultural clarity and technology. The second most essential findings leading to the potential implementation of AI are efficiency and effectiveness in the workplace, quality improvement, and product safety and enhancement. In conclusion, this research contributes to an in-depth understanding of technological practices, current challenges, and potential implementation of AI in improving bridge maintenance management for the Malaysia - Singapore Second Link Expressway
format	Conference or Workshop Item
author	Zol, Nurul Athirah Kasim, Narimah Mohd Noh, Hamidun Abd Rahim, Mohd Hilmi Izwan
author_facet	Zol, Nurul Athirah Kasim, Narimah Mohd Noh, Hamidun Abd Rahim, Mohd Hilmi Izwan
author_sort	Zol, Nurul Athirah
title	Potential of artificial intelligence (AI) implementation for improving bridge maintenance management: a case study on Malaysia – Singapore Second Link Expressway
title_short	Potential of artificial intelligence (AI) implementation for improving bridge maintenance management: a case study on Malaysia – Singapore Second Link Expressway
title_full	Potential of artificial intelligence (AI) implementation for improving bridge maintenance management: a case study on Malaysia – Singapore Second Link Expressway
title_fullStr	Potential of artificial intelligence (AI) implementation for improving bridge maintenance management: a case study on Malaysia – Singapore Second Link Expressway
title_full_unstemmed	Potential of artificial intelligence (AI) implementation for improving bridge maintenance management: a case study on Malaysia – Singapore Second Link Expressway
title_sort	potential of artificial intelligence (ai) implementation for improving bridge maintenance management: a case study on malaysia – singapore second link expressway
publishDate	2024
url	http://eprints.uthm.edu.my/12128/1/P16880_e6dcee6a614d68f081a28e781b1a7fad.pdf%2017.pdf http://eprints.uthm.edu.my/12128/ https://doi.org/10.30880/rmtb.2024.05.01.079
_version_	1817845168986914816
score	13.23239

Potential of artificial intelligence (AI) implementation for improving bridge maintenance management: a case study on Malaysia – Singapore Second Link Expressway

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