作者
Lesly Velezmoro-Abanto, Rocío Cuba-Lagos, Bryan Taico-Valverde, Orlando Iparraguirre-Villanueva, Michael Cabanillas-Carbonell
发表日期
2024/3/1
来源
International Journal of Online & Biomedical Engineering
卷号
20
期号
3
简介
This paper analyzes the application of artificial intelligence (AI) techniques in lean construction (LC) and their potential to enhance project management (PM) for improved cost and schedule efficiency. The PRISMA methodology is used to select relevant articles in four steps. Furthermore, a bibliometric analysis of keywords and their occurrences is conducted. The study emphasizes the different methods of utilizing lean tools and AI techniques to attain optimal results in the construction industry. By combining a variety of tools and techniques, it is possible to create an environment that fosters improved project outcomes while minimizing risks and inefficiencies. According to the articles reviewed, the LC methodology and its tools are becoming increasingly relevant in general practice (GP). Machine learning (ML) techniques, particularly artificial neural networks (ANN), have been extensively researched as a tool to …
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L Velezmoro-Abanto, R Cuba-Lagos, B Taico-Valverde… - International Journal of Online & Biomedical …, 2024