The proposed framework uses a mathematical optimization model (a large-scale, mixed-integer program-MIP) that aims to design a supply chain by strategically placing processing technologies that can capture post-consumer waste and obtain intermediate and final products that are delivered to consumers. This framework integrates data from techno-economic analysis and lifecycle assessment with supply chain optimization techniques. The optimization model can be interpreted as an infrastructure design model that aims to create an economy that maximizes total profit (which captures revenue obtained from all derived products and costs associated with investment, processing, and transportation costs) .