In this paper, we have addressed a problem related to forward and reverse logistics design for refurbished products. Nowadays, E-commerce firms have started recycling used products and selling them in the market as refurbished products. To address this, a mixed integer nonlinear programming (MINLP) model is proposed to minimize the total expected costs, which involves material costs, production costs, shortage costs, purchasing costs, recycling costs, inventory holding costs, repairing costs, disposal costs, and transportation costs associated with the entire forward and reverse supply chain network. The proposed model considers all pickup and delivery points of retailers/customers within the promised time window. The proposed model is solved using IBM CPLEX. Computational experiments are presented to generate comparative data for analyzing and deriving managerial insights using practical cases.