https://doi.org/10.24928/2023/0154

Construction Supply Chain Product Data Integration for Lean and Green Site Logistics

Fabrice Berroir¹, Magdalena Pyszkowski², Omar Maatar³ & Nico Mack⁴

¹R&D Engineer, Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg, [email protected], orcid.org/0000-0002-0392-1011
²Global Head of Market Management, Knauf Insulation, orcid.org/0000-0001-6045-9225
³R&D Director, CLE and BPC Group, [email protected], orcid.org/0000-0001-6933-7873
⁴R&D Engineer, Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg, [email protected], orcid.org/0000-0002-0903-6240

Abstract

Supply Chain Management using Construction Consolidation Centres, kitting and Third-Party Logistics were proposed to streamline material flows in construction and reduce costs. Studies also highlight potential mitigation of the environmental impacts of the Construction Supply Chain but, despite the climate emergency, these solutions struggle to become industry practice. Digitalization, especially with Building Information Modelling based processes, appears as a key enabler for this transition, but it is hindered by heterogeneous data between construction companies and suppliers (made of manufacturers and resellers). Therefore, semantic Digital Twins, that can use Product Information Management, and recent norms on Product Data Templates have been proposed, but they need to be studied through practical cases from both construction site and supply chain perspectives. Consequently, this study applies a Design Science Approach involving 3 pilot projects, a manufacturer and digital supply chain experts around the development of a proof of concept of a Digital Twin tool for Lean and green logistics in construction. We identify what limitations of classical technologies used in the pilots could be addressed by a Digital Twin, we define what product data is needed for such a use case, and we compare practical scenarios for sharing and storing this data.

Keywords

Supply Chain Management (SCM), Logistics, Digitization, Digital Twin, Product information management (PIM).

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Reference

Berroir, F. , Pyszkowski, M. , Maatar, O. & Mack, N. 2023. Construction Supply Chain Product Data Integration for Lean and Green Site Logistics, Proceedings of the 31st Annual Conference of the International Group for Lean Construction (IGLC31) , 1662-1673. doi.org/10.24928/2023/0154

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