工业4.0
数字化
劳动力
背景(考古学)
新兴技术
工程类
自动化
建筑业
工程管理
知识管理
计算机科学
建筑工程
人工智能
电信
嵌入式系统
经济
古生物学
生物
机械工程
经济增长
作者
Alex Sander Clemente de Souza,Luciana Debs
出处
期刊:Buildings
[Multidisciplinary Digital Publishing Institute]
日期:2023-10-07
卷期号:13 (10): 2535-2535
被引量:5
标识
DOI:10.3390/buildings13102535
摘要
Connectivity, digitization, and emerging Industry 4.0 technology such as AI, automation, robotics, IoT, and cyber-physical space have transformed social relations, the means of production, and the world of labor. The construction industry has also been transformed by Industry 4.0 technologies, mainly through Building Information Modeling (BIM)-based digitization. This revolution in the construction industry has been called Construction 4.0 and is based on the use of innovative technologies that promote digitalization and automation of design, construction, and management processes. Furthermore, the workforce for the construction industry in the context of Construction 4.0 must have adequate skills for this new scenario. Previous literature reviews have analyzed the idea of transitioning the construction industry to Construction 4.0 and implementing specific technologies in the industry. However, there has been limited exploration of the skills necessary for the Construction 4.0 workforce. This article aims to address this gap by identifying the technologies and skills that have been scientifically researched and applied in the construction industry, specifically related to the concepts of Industry 4.0 and Construction 4.0. Utilizing a scoping literature review in the Scopus database, this study seeks to identify: (i) emergent C4.0 technologies in the AEC industry; and (ii) which skills or competencies are demanded when using these technologies. All of our bibliographical searches are inserted and restricted to the concept of Construction 4.0. A total of 108 articles related to technologies and 15 related to skills in the Construction 4.0 context were selected for analysis. Twenty-one technologies were identified and grouped into five sets according to their similarities and applications: AI-assisted technologies, Advanced manufacture, Smart tools, Digital simulation/Visualization, and Data acquisition/detection. The skills were identified and grouped into soft and hard skills. However, the findings point out that the new skills needed by the workforce are described in a dispersed way, without a central theme of research in the context of Construction 4.0. Our findings contribute to a better understanding of the transformations towards Construction 4.0 and provide data for industry and universities to respond appropriately to the new demands of the construction industry.
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