AI-DRIVEN QUALITY ASSURANCE IN SME CONSTRUCTION: AN IoT-BASED COST OPTIMIZATION CASE STUDY
DOI:
https://doi.org/10.30888/2663-5712.2025-31-01-079Ключові слова:
internet of things, artificial intelligence, quality assurance, computer vision, SME construction 4.0, cost optimization, risk assessment, civil engineeringАнотація
The article presents an approach to automating quality control of construction works in small and medium–sized enterprises (SMEs) through the integration of Internet of Things (IoT) technologies and artificial intelligence (AI) methods. We developed a monMetrics
Посилання
Construction output in Great Britain. Office for National Statistics. (2025, March). https://www.ons.gov.uk/businessindustryandtrade/constructionindustry
Up by 1.4% in the euro area and by 0.9% in the EU compared… 2023. EUROSTAT. (2025, February). https://ec.europa.eu/eurostat/web/products-euro-indicators/w/4-20012025-ap
Production in construction up by 1.2% in the euro area and by 1.3% in the EU. EUROSTAT. (2025, February). https://ec.europa.eu/eurostat/web/products-euro-indicators/w/4-20012025-ap
OECD Compendium of Productivity Indicators 2023. OECD. (2023, February). https://www.oecd.org/en/publications/oecd-compendium-of-productivity-indicators-2023_74623e5b-en.html
Construction statistics, Great Britain: 2023. Office for National Statistics. (2024, November). https://www.ons.gov.uk/businessindustryandtrade/ constructionindustry/articles/constructionstatistics/2023
The construction sector is not operating at full capacity—here are some data that could explain why. Statistics Canada. (2024, July 4). https://www.statcan.gc.ca/o1/en/plus/6596-construction-sector-not-operating-full-capacity-here-are-some-data-could-explain-why
Housing construction productivity: Can we fix it. pc.gov.au. (2025, February). https://www.pc.gov.au/research/completed/housing-construction/housing-construction.pdf
Hours worked and labour productivity in the provinces and territories (preliminary), 2023. Statistics Canada. (2024, May 21). https://www150.statcan.gc.ca/n1/daily-quotidien/240521/dq240521b-eng.htm
Althoey, F., Alsulamy, S. H., Waqar, A. et al. (2024, August 15). Influence of IoT implementation on Resource management in construction. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e32193
Khurshid, K., Danish, A., Salim, M. U. et al. (2023, January 10). An In-Depth Survey Demystifying the Internet of Things (IoT) in the Construction Industry: Unfolding New Dimensions. MDPI. https://doi.org/10.3390/su15021275
Maqbool, R., Saiba, M. R., Ashfaq, S. et al. (2022, December 24). Emerging industry 4.0 and Internet of Things (IoT) technologies in the Ghanaian construction industry: sustainability, implementation challenges, and benefts. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-022-24764-1
Ashfaq, S. (2023, November 5). Integrating Leading-Edge Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Technologies for Smart and Sustainable Architecture, Engineering and Construction (AEC) Industry: Challenges and Future Directions. International Journal of Data Science and Big Data Analytics. https://doi.org/10.51483/IJDSBDA.3.2.2023.73-95
Rane, N. L. (2023, November 6). Integrating Building Information modelling (BIM) and Artificial Intelligence (AI) for smart construction schedule, cost, quality, and safety management: challenges and opportunities. SSRN. http://dx.doi.org/10.2139/ssrn.4616055
Zabala-Vargas, S., Jimenez-Barrera, M. H., Jaimes-Quintanilla, M. et al. (2023, November 25). Big Data, Data Science, and Artificial Intelligence for Project Management in the Architecture, Engineering, and Construction Industry: A Systematic Review. MDPI. https://doi.org/10.3390/buildings13122944
Ali Musarat, M., Mateen Khan, A., Salah Alaloul, W. et al. (2024, June). Automated monitoring innovations for efficient and safe construction practices. Results in Engineering. https://doi.org/10.1016/j.rineng.2024.102057
Parsamehr, M., Sachinthana Perera, U., Dodanwala, T. C. et al. (2022, September 23). A review of construction management challenges and BIM-based solutions: perspectives from the schedule, cost, quality, and safety management. Asian Journal of Civil Engineering. https://doi.org/10.1007/s42107-022-00501-4
Ghansah, F. A., & Edwards, D. J. (2024, March 21). Digital Technologies for Quality Assurance in the Construction Industry: Current Trend and Future Research Directions towards Industry 4.0. Buildings (MDPI). https://doi.org/10.3390/buildings14030844
Waqar, A., Skrzypkowski, K., Almujibah, H. et al. (2023, May 5). Success of Implementing Cloud Computing for Smart Development in Small Construction Projects. Road to Smart City with Geohazard Mitigation and Adaptation Measures (MDPI) . https://doi.org/10.3390/app13095713
Rane, N. L. (2023, November 5). Integrating Leading-Edge Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Technologies for Smart and Sustainable Architecture, Engineering and Construction (AEC) Industry: Challenges and Future Directions. International Journal of Data Science and Big Data Analytics. https://doi.org/10.51483/IJDSBDA.3.2.2023.73-95
Nejad, A. M., Sobhani, B., Hosseini, S. M. et al. (2024, June). Fault-tolerant controller based on artificial intelligence combined with terminal sliding mode and pre-described performance function applied on ship dynamic position stabilization systems. Engineering Applications of Artificial Intelligence. https://doi.org/10.1016/j.engappai.2024.107890
Опубліковано
Як цитувати
Номер
Розділ
Ліцензія
Авторське право (c) 2025 Автори
Ця робота ліцензується відповідно до Creative Commons Attribution 4.0 International License.
