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Journal of Engineering, Project, and Production Management, 2022, 12(3), 239-249
Utilising Artificial Intelligence in Construction Site Waste Reduction
1Ph.D. Candidate, Department of
Mechanical and Industrial Engineering, Norwegian University of Science
and Technology, Richard Birkelands vei 2B, 7034 Trondheim, Norway,
E-mail: sofie.bang@ntnu.no (corresponding author).
Project Management
Received December 6, 2021; revised March 3, 2022; accepted May 21, 2022
Available online June 13, 2022
Abstract: The purpose of this study is to examine how artificial intelligence (AI) can help reduce waste on construction sites. An explorative, mixed-method research design is deployed. Qualitative methods were utilised, including an extensive literature search, 32 interviews, a project visit, and participation in chosen seminars. Additionally, quantitative methods included an analysis of waste quantities in 161 construction projects, selected based on criteria for availability of data, as well as a targeted questionnaire with 21 respondents. Several methods were employed as means of triangulation, to increase the validity and reliability of the data in a complex and rapidly developing field. The study uncovers several possibilities and concludes with 18 proposed measures for waste reduction on a construction site, along with a set of recommendations for practical implementation. The recommended measures include defining appropriate targets for waste production, optimising resources, tracking continuously, reporting and presenting waste quantities, training, conducting inspections, and implementing specific routines for warehousing. The study helps bridge the gap between ambition and practice by highlighting considerations related to the practical implementation of measures for waste management and providing an understanding of which AI-based tools and measures are considered effective for waste reduction in construction projects.
Keywords: artificial intelligence, construction projects, sustainability, waste, waste reduction. Copyright © Journal of Engineering, Project, and Production Management (EPPM-Journal). This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Requests for reprints and permissions at eppm.journal@gmail.com. Citation: Bang, S. and Andersen, B. (2022). Utilising Artificial Intelligence in Construction Site Waste Reduction. Journal of Engineering, Project, and Production Management, 12(3), 239-249.
DOI:
10.32738/JEPPM-2022-0022
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