Worked on the remindmodel/remind repository to enhance the realism and flexibility of scenario analysis within the remind model. Focused on mathematical modeling and optimization using GAMS, the developer relaxed the q37_feedstocksShares constraint from an equality to an inequality, allowing feedstock allocations to vary more broadly across industry subsectors. This technical adjustment expanded the set of feasible solutions, supporting more realistic exploration of scenarios under uncertainty while maintaining the model’s structural integrity. The work demonstrated a careful approach to model constraints, enabling better decision-making by broadening analytical possibilities without compromising the underlying logic or reliability of the optimization framework.