AI in Construction Project Management: Enhancing Efficiency and Reducing Costs
DOI:
https://doi.org/10.32628/CSEIT251112259Keywords:
Artificial Intelligence (AI) in Construction, Construction Project Management, Cost Optimization, Digital TransformationAbstract
The integration of Artificial Intelligence in construction project management represents a transformative shift in how construction projects are planned, executed, and monitored. This article examines the current state of AI adoption in the construction industry, exploring its key applications, cost benefits, implementation challenges, and future opportunities. The article reveals that AI technologies are significantly improving project planning accuracy, enhancing real-time monitoring capabilities, optimizing resource allocation, and reducing both direct and indirect costs. Despite notable technical and organizational challenges, the construction industry is increasingly recognizing AI's potential to address fundamental inefficiencies and drive innovation. The article demonstrates that AI implementation leads to substantial improvements in project predictability, safety compliance, operational efficiency, and stakeholder satisfaction, marking a crucial evolution in construction project management practices.
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Olle Samuelson and Lars Stehn, "Digital Transformation in Construction – A Review," Journal of Information Technology in Construction, ITcon Vol. 28 (2023), Samuelson & Stehn, pg. 385, July 2023. [Online]. Available: https://www.itcon.org/papers/2023-20-ITcon-Samuelson.pdf
Jose Luis Blanco, Andrew Mullin, Kaustubh Pandya, and Mukund Sridhar, "The new age of engineering and construction technology," McKinsey Quarterly, McKinsey & Company, July 2017. [Online]. Available: https://www.mckinsey.com/~/media/McKinsey/Industries/Capital%20Projects%20and%20Infrastructure/Our%20Insights/The%20new%20age%20of%20engineering%20and%20construction%20technology/The-new-age-of-engineering-and-construction-technology.pdf
Ruchit Parekh, Olivia Mitchell, "Enhancing construction site efficiency through artificial intelligence (AI)," International Journal of Science and Research Archive, 2024, 13(01), 1081–1092, 20 September 2024. [Online]. Available: https://ijsra.net/sites/default/files/IJSRA-2024-1778.pdf
Jingqi Zhang, Shaohua Jiang, "Review of artificial intelligence applications in construction management over the last five years," Engineering, Construction and Architectural Management, 26 November 2024. [Online]. Available: https://www.emerald.com/insight/content/doi/10.1108/ecam-03-2024-0313/full/html
Kudirat Ayinla et al., "The Impact of Artificial Intelligence on Construction Costing Practice," Conference: 39th Annual ARCOM ConferenceAt: University of Leeds, Leeds, UK, September 2023. [Online]. Available: https://www.researchgate.net/publication/373755997_The_Impact_of_Artificial_Intelligence_on_Construction_Costing_Practice
Massimo Regona et al., "Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review," Journal of Open Innovation: Technology, Market, and Complexity, Volume 8, Issue 1, March 2022, 45. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S219985312201054X
Prashnna Ghimire, Kyungki Kim, and Manoj Acharya, "Opportunities and Challenges of Generative AI in Construction Industry: Focusing on Adoption of Text-Based Models," Buildings 2024, 14(1), 220, 2024. [Online]. Available: https://www.mdpi.com/2075-5309/14/1/220
Michael Abramov, "The Future of Construction: Exploring Emerging Applications of AI," KeyMakr, Aug 8, 2024. [Online]. Available: https://keymakr.com/blog/the-future-of-construction-exploring-emerging-applications-of-ai/
Chirag, "AI in Construction – How Artificial Intelligence is Paving the Way for Smart Construction," Appinventiv, November 12 2024. [Online]. Available: https://appinventiv.com/blog/ai-in-construction/#:~:text=AI%20algorithms%20can%20analyze%20vast,occurs%20that%20may%20interrupt%20work
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