A fuzzy multi-objective optimization model for sustainable reverse logistics network design

This paper presents a fuzzy multi-objective optimization model for designing a sustainable reverse logistics network. The model considers environmental, social, and economic aspects and their indicators. Fuzzy mathematical programming is used to deal with uncertain parameters, and a customized multi-objective particle swarm optimization algorithm is applied to obtain solutions on the Pareto front. The proposed model is implemented in a medical syringe recycling system to demonstrate its applicability and practicality.