Department Of Industrial/Engineering Management, Florida International University, USA.
Review Article
World Journal of Advanced Research and Reviews, 2023, 19(02), 1623-1638
Received on 13 July 2023; revised on 23 August 2023; accepted on 25 August 2023
The construction of cleanrooms is a critical endeavor in industries such as pharmaceuticals, semiconductors, and biotechnology, where stringent contamination control, cost efficiency, and adherence to strict timelines are paramount. Traditional cleanroom construction methods often face challenges related to budget overruns, schedule delays, and contamination risks, necessitating innovative technological solutions. The integration of Building Information Modeling (BIM), Digital Twin technology, and AI-driven project management systems is transforming cleanroom construction by enhancing precision, efficiency, and risk mitigation. BIM facilitates real-time collaboration, clash detection, and resource optimization, reducing construction errors and rework, ultimately minimizing costs and project delays. Digital Twin technology, by providing a dynamic virtual representation of the construction process, enables real-time monitoring, predictive maintenance, and enhanced quality control, ensuring compliance with strict cleanroom standards. Furthermore, AI-driven project management tools leverage predictive analytics, automation, and machine learning algorithms to optimize scheduling, labor allocation, and material procurement, preventing cost escalations and streamlining workflows. This paper explores the synergistic impact of BIM, Digital Twin, and AI technologies in cleanroom construction, emphasizing how their combined application improves cost efficiency, accelerates project timelines, and mitigates contamination risks. Through case studies and performance analysis, we demonstrate the effectiveness of these technologies in revolutionizing cleanroom project execution. By adopting these cutting-edge digital solutions, stakeholders can achieve unprecedented efficiency, regulatory compliance, and contamination-free environments, ensuring the sustainable and future-proof development of critical cleanroom infrastructure.
Cleanroom construction; Building Information Modeling (BIM); Digital Twin technology; AI-driven project management; Cost optimization; Contamination control
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Jemimah Otoko. Optimizing cost, time, and contamination control in cleanroom construction using advanced Bim, digital twin, and ai-driven project management solutions. World Journal of Advanced Research and Reviews, 2023, 19(2), 1623-1638. Article DOI: https://doi.org/10.30574/wjarr.2023.19.2.1570