Current Trend in Planning and Scheduling of Construction Project Using Artificial Intelligence
Current Trend in Planning and Scheduling of Construction Project Using Artificial Intelligence
- Author(s): Ning Liu ; Byung Gyoo Kang ; Yu Zheng
- DOI: 10.1049/cp.2018.1731
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- Author(s): Ning Liu ; Byung Gyoo Kang ; Yu Zheng Source: IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018 (BRAIN 2018), 2018 page (6 pp.)
- Conference: IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018 (BRAIN 2018)
- DOI: 10.1049/cp.2018.1731
- ISBN: 978-1-83953-083-8
- Location: Ningbo, China
- Conference date: 4 Nov. 2018
- Format: PDF
During digitalization of Architecture, Engineering and Construction (AEC) industry, one of the influential technologies, Computer-Aided Design can present the state of these digital technologies that assist practitioners to achieve better work. Similar with CAD, digital project planning and schedule control approaches are still mainly relayed on expert experiences which leads to high expert cost in construction project. Researchers and construction-related project participants develops technologies related to Artificial Intelligence (AI) field to decrease the dependence level of expert in construction planning and schedule control. This paper focuses on 1) teasing out the historical trend in planning and scheduling of construction project of AI technologies; 2) using published construction projects and interview data collected by authors, introducing the current trend of implementation of AI technologies in construction planning and schedule control area. Then, this paper identified gaps of AI technologies adoption between academic perspective and real world in both construction scheduling and planning areas. This paper collected totally 1120 journal papers, by keywords as: Artificial Intelligence, Construction. Then the papers are selected following criterion that after 2000 and only related to relevant research fields. After paper selection, totally 383 papers are analysed to identify the historical trend.
Inspec keywords: artificial intelligence; project management; scheduling; expert systems; organisational aspects; construction industry; CAD
Subjects: Knowledge engineering techniques; Construction industry
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