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Journal of Engineering, Project, and Production Management, 2022, 12(3), 239-249

 

Utilising Artificial Intelligence in Construction Site Waste Reduction

 

Sofie Bang1 and Bjørn Andersen2

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).
2Professor, Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology, Richard Birkelands vei 2B, 7034 Trondheim, Norway, E-mail: bjorn.andersen@ntnu.no

 

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.

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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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