Social risks assessment of the supply chain of an aluminium semi-finished profile for window

Abstract

Abstract Purpose Aluminium is among the most energy-intensive industries in the world and is produced from mining operations in bauxite mines. The effects on the environment of the entire aluminium supply chain, especially mining, also entail social risks. This article aims to understand the potential social risks along the supply chain of aluminium by focusing on a semi-finished frame for windows through the use of the Product Social Impact Life Cycle Assessment (PSILCA) database. Method Social Life Cycle Assessment (S-LCA) was implemented by following the Social Life Cycle Assessment of Products And Organizations 2020, to analyse the potential social risks and opportunities associated with the aluminium sector. Specifically, the PSILCA database, designed for S-LCA, was used to evaluate the background processes of the aluminium supply chain of an Italian company specialized in surface treatment of aluminium semi-finished products used in the production of doors and windows. Results The primary social risks manifest in the background processes. Comparing these findings with the literature review, it is straightforward to attribute them to the mining phase of bauxite, which constitutes the initial stage in aluminium production and occurs in various regions globally. Specifically, the highest social risk is associated with “Corruption in the public sector”, likely linked to Italy. Additionally, the study reveals a positive impact in terms of “Contribution to economic development” as also revealed by the literature review. Conclusions An analysis of the potential social risks within the aluminium supply chain was provided, addressing the research gap between the utilization of S-LCA methodology and its application within the sector. Additionally, the PSILCA database was employed for investigating the background processes in the case study. However, a social performance assessment using primary data would be required to enhance the representation of the evaluated production system.