The main research assignment for this project is to develop a dynamic Material Flow Analysis (MFA) model for Electrical and Electronic Equipment (EEE) companies to increase transparency on downstream product flows and to provide insight on the impacts of Reverse Logistics strategies. The assignment is carried out by conducting a theoretical analysis and then applying the findings from the theoretical analysis to a case study at Royal Philips to create the model. It was found that incorporating Reverse Logistics stock and flow accounting methods can theoretically increase the accuracy of the dynamic MFA method when applied to a company. Furthermore, concepts from the Reverse Logistics management field are used to create a prospective dynamic MFA model for several 'circular' scenarios in order to assess the impact of Reverse Logistics strategies. For this case study, the outcome of the model is deemed consistent with real-world data when simulating Business-as-Usual conditions, and furthermore, the model produces results that can be useful for strategic decision making regarding Closed Loop Supply Chain management.