| Abstract Scope |
Post-consumer aluminium scrap is key to reducing carbon emissions in sectors like automotive manufacturing. However, variability and limited traceability in scrap streams hinder the production of high-performance, low-carbon alloys, causing mismatches in supply and demand. This paper uses systems thinking—specifically, causal loop diagrams and system mapping—to analyse traceability in the aluminium recycling system and identify interventions for more sustainable material flows. We visualise how information gaps, delays, and feedback loops impact scrap quality, flow, and reuse. The study highlights leverage points where traceability improvements (e.g., digital tagging, source separation, alloy-specific sorting) can enhance downstream alloy quality and utilisation. Our framework supports industry decision-makers with tools for improving transparency, coordination, and circularity in aluminium use, aligning environmental and economic goals. |