Simulation and optimization of prefabricated building construction considering multiple objectives and uncertain factors

Yuan, Zhenmin; Man, Qingpeng; Guan, Zhengyong; Yi, Chao; Zheng, Muhua; Chang, Yuan; Li, Hong Xian

doi:10.1016/j.jobe.2024.108830

Journal of Building Engineering

2024

DOI: 10.1016/j.jobe.2024.108830

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Simulation and optimization of prefabricated building construction considering multiple objectives and uncertain factors

Zhenmin Yuan,

Qingpeng Man,

Zhengyong Guan

et al.

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Current Research and Future Directions for Off-Site Construction through LangChain with a Large Language Model

Jeong,

Gil,

Kim

et al. 2024

Buildings

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Off-site construction is well-known technology that facilitates parallel processes of manufacturing and construction processes. This method enhances productivity while reducing accident, cost, and environmental impact. Many studies have highlighted its benefits, prompting further encouragement of off-site construction. This study consolidates current research and charts future directions by reviewing the existing literature. However, reviewing papers is time-intensive and laborious. Consequently, generative AI models, particularly Large Language Models (LLMs), are increasingly employed for document summarization. Specifically, LangChain influences LLMs through chaining data, demonstrating notable potential for research paper reviews. This study aims to evaluate the well-documented advantages of off-site construction through LangChain integrated with an LLM. It follows a streamlined process from the collection of research papers to conducting network analysis, examining 47 papers to uncover that current research primarily demonstrates off-site construction’s superiority through cutting-edge technologies. Yet, a data deficiency remains a challenge. The findings demonstrate that LangChain can rapidly and effectively summarize research, making it a valuable tool for literature reviews. This study advocates the broader application of LangChain in reviewing research papers, emphasizing its potential to streamline the literature review process and provide clear insights into off-site construction’s evolving landscape.

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Current Research and Future Directions for Off-Site Construction through LangChain with a Large Language Model

Jeong,

Gil,

Kim

et al. 2024

Buildings

View full text Add to dashboard Cite

show abstract

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Simulation and optimization of prefabricated building construction considering multiple objectives and uncertain factors

Cited by 1 publication

References 60 publications

Current Research and Future Directions for Off-Site Construction through LangChain with a Large Language Model

Current Research and Future Directions for Off-Site Construction through LangChain with a Large Language Model

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