Monitoring the Construction Industry towards a Construction Revolution 4.0

• Main Authors: Yousif, Omar Sedeeq, Zakaria, Rozana, Wahi, Noraziah, Aminudin, Eeydzah, Abdul Tharim, Asniza Hamimi, Gara, Jawa, Umran, Nur Izyan Liyana, Khalid, Ruzaini, Ismail, Noraliza
• Format: Article
• Language: English
• Published: International Information and Engineering Technology Association 2022
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/99000/1/RozanaZakaria2022_MonitoringtheConstructionIndustrytowardsaConstructionRevolution.pdf; http://eprints.utm.my/id/eprint/99000/; http://dx.doi.org/10.18280/ijsdp.170228

The key concept of the Industrial Revolution IR 4.0 has been conceptualized as the new wave of digitalization, robotization, and broader usage of information and communication technology. However, the construction industry is complicated, which has led to its slow industrial evolution. The construction industry still follows traditional labor-intensive industry practices, with high energy consumption, environmental pollution, and low productivity in project delivery. Moreover, the recent cataclysmic COVID 19 pandemic has opened the vision of the construction industry towards IR 4.0 due to the human movement restriction. This paper aims to investigate the adoption of indispensable monitoring technology in the construction industry as effective visual communication of data towards the IR 4.0. This research closes the gap and gives an intensive literature investigation to acquire insights into Construction 4.0 and a case study to showcase the developed monitoring dashboard. Adoption of IR 4.0 technologies will achieve sustainable construction development, lower costs and fast construction with the highest quality. The critical literature review of previous studies with content analysis to demonstrate the recent research in this area. The monitoring dashboard brings the construction performance assessment data to real life and provides key performance indicators required for construction management and support decisions.