The closed-loop supply chain (CLSC) has gained popularity as a practical way to improve sustainability and resource efficiency in various industries. Unlike a linear supply chain, a CLSC adopts reverse logistics to recover, recycle, and reuse items or their components. This study creates a mathematical model for a reliable and effective CLSC model that integrates forward and reverse logistics operations to reduce costs, boost profits, and reduce environmental impact. A metaheuristic approach (Genetic Algorithm) is used to solve the model. The experimental findings show that the suggested strategy contributes in enhancing CLSC performance.