<p>This study delves into the intricacies of e-waste management control by introducing a novel approach that leverages neutrosophic numbers. Focusing on crucial factors such as environmental impact, resource recovery, social impact, and economic viability, our research employs a superiority and inferiority ranking method enhanced by neutrosophic numbers. This methodology enables a nuanced and flexible evaluation of electronic products, considering the inherent uncertainties and indeterminacies associated with sustainability metrics. By incorporating neutrosophic numbers into the ranking process, the study aims to provide a more robust framework for assessing and prioritizing e-waste management strategies. The outcomes of this research contribute to advancing the understanding of e-waste management by incorporating the inherent uncertainties within a neutrosophic framework. This approach not only enhances the accuracy of ranking electronic products but also facilitates more adaptive and informed decision-making processes in the pursuit of sustainable e-waste management practices. Additionally, we conduct a comparative analysis by evaluating the performances by utilizing various Multi-Criteria Decision-Making (MCDM) methods. To further validate the robustness of the proposed model, a comprehensive sensitivity analysis is conducted to observe how variations in criterion weights influence the final rankings. In addition, a stability analysis using Monte Carlo simulation is performed to assess the consistency of the results under probabilistic fluctuations.</p>