31st Annual Conference of the International Group for Lean Construction (IGLC 31) - Lille, France - 2023

https://doi.org/10.24928/2023/0153

On-Site Waste Management: A Use Case of Lean Construction and Artificial Intelligence Synergy

Fabrice Berroir1, Pierre Guernaccini2 & Jean-Sébastien Sottet3

1R&D Engineer, Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg, [email protected], orcid.org/0000-0002-0392-1011
2R&D Engineer, Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg, [email protected], orcid.org/0000-0002-5395-9042
3Senior Researcher, Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg, [email protected], orcid.org/0000-0002-3071-6371

Abstract

The construction industry generates more waste than any other industry. Waste management is getting more and more attention as the policies and mentalities evolve to face the challenges ahead: climate change, materials shortage, circular economy. Most of the waste management activities consist in waste sorting and is carried out downstream of the construction execution, resulting in lower material recovery performance. This paper proposes a method to segregate waste (separate waste based on how it is created) to enhance the reuse, recovery, and recycling of construction waste. Therefore, it investigates the applicability of Lean Construction methods and Artificial Intelligence (AI) tools and their potential synergy. Directly applying classical waste management AI tools (as used in recycling centers) was tested based on real case data. It required an excessive need for data and training. Alternatively, a Lean Construction framework based on a combination of the 5S method, and the Takt Time Planning method was proposed. It enables the streamlining of flows in order to mitigate the impact of on-site constraints on AI training. We instrumented this Lean Construction approach with an AI tool that checks the quality of the construction waste segregation process by detecting mixed materials in dumpsters

Keywords

Lean Construction, process, sustainability, Artificial Intelligence, waste segregation.

Files


Full Text
 

Reference

Berroir, F. , Guernaccini, P. & Sottet, J. 2023. On-Site Waste Management: A Use Case of Lean Construction and Artificial Intelligence Synergy, Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31) , 462-473. doi.org/10.24928/2023/0153

Download: BibTeX | RIS Format

 

Founded in 1993, the IGLC is an international network of researchers from practice and academia in architecture, engineering, and construction (AEC) who feel that the practice, education, and research of the AEC industry have to be radically renewed in order to respond to the global challenges ahead.

2015 © All Rights Reserved.