Network optimization is a crucial topic in logistics. Efficiencies, effectiveness, and customer responsiveness are the factors to consider in the optimization process. Closed-Loop Supply Chains are network configurations that achieve an optimal integration of the forward logistics and the reverse logistics of an enterprise. Mostly, deterministic and stochastics models focus on minimizing costs (transportation, distribution, production, remanufacturing). However, real-world problems require considering additional qualitative factors such as quality, environmental considerations, among others that are difficult to measure. Decision theory provides different techniques to design decision framework model that include quantitative and qualitative factors. This paper presents a novelty application of the Simple Multi-Attribute Rating Technique (SMART) to optimize the decision-making process in a Close-Loop Supply Chain. A Peruvian retailing store chain data is used to validate the proposal model, and the findings provide valuable managerial insights.