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Knowledge management for off-site construction
DOI:10.1016/j.autcon.2024.105632.png)
摘要
En 中文
Off-site construction (OSC) is expected to boost productivity, shorten construction time, and reduce labour and material wastage. Despite these benefits, most OSC projects have not fully achieved these advantages, where a primary obstacle lies in the limited management of OSC knowledge. However, there is still no holistic understanding of the integration of KM in the OSC context. Therefore, this paper explores the latest development in KM for OSC through a systematic literature review using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and template analysis. The review is based on 66 screened and assessed journal articles from all years to 2024 with a particular focus on KM and OSC. Through the quantitative and qualitative analysis, this study groups four main research themes including KM for OSC design, KM for OSC project management, knowledge-based OSC decision-making, and the management of OSC knowledge. The results are discussed to gain a systematic understanding of key OSC knowledge domains, investigate the integration of KM for OSC, and explore future research needs including emerging artificial intelligence (AI) technologies.
Keyword:
Off-site construction (OSC)
Knowledge management (KM)
Artificial intelligence (AI)
Systematic literature review
AI总结
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期刊
IF:
11.5
论文数:
6.3K
被引数:
4.2W
机构
引用论文
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Improving knowledge capture and retrieval in the BIM environment: Combining case-based reasoning and natural language processing改善BIM环境中的知识捕获和检索: 结合基于案例的推理和自然语言处理
Safety Risk Management of Prefabricated Building Construction Based on Ontology Technology in the BIM Environment
BUILDINGS
IF3.1
Software survey: VOSviewer, a computer program for bibliometric mapping软件调查: VOSviewer,用于文献计量制图的计算机程序
SCIENTOMETRICS
IF3.5

