This talk will present the results of recent projects related to the advancement of our understanding of CE networks. During the first part of the talk, I will discuss a generalized superstructure-based optimization framework for designing and optimizing circular economy (CE) networks under multi-criteria decision-making. We apply the proposed framework to a case study of the polyethylene terephthalate (PET) supply chain, considering various waste valorization pathways.
In the second part of the talk, I will present the advances on the dynamic modeling of CE networks. Dynamic modeling is needed as some CE initiatives, such as product reuse, evolve over time, so steady-state models are unsuitable. We start by proposing a dynamic model for a generalized actor, then derive specific models for five actors (a manufacturer, consumer, material recovery facility (MRF), recycling facility, and the Earth), and combine them to form a prototypical circular SC network. We apply this framework to the supply chain for plastic packaging to assess the effects of slowdown-the-loop initiatives, such as product reuse, and close-the-loop initiatives, such as increased recycling.



