This research formulates and validates a novel hybrid Multi-Criteria Decision-Making (MCDM) model to address the combined decision challenge of the optimal choice of suppliers and reverse-logistics centers needed to achieve digital-enabled circularity in the Bangladesh textiles industry. The study measures 12 metrics under three strategic pillars: Digital Product Passport (DPP) Readiness, the Social-Circular Index (SCCI) and Hub Feasibility. The framework uses the Best-Worst Method (BWM) of weighting criteria and Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) of dual ranking based on the data gathered at five factories and two logistical hubs. Findings show that the DPP Fields Available (D1 = 0.6207) and Water Reuse (C1 = 0.5063) are the most significant in selecting suppliers, whereas the decision on the hub belongs to Cost per Returned Unit (H1 = 0.6126). The TOPSIS ranking indicates Supplier F3 and Gazipur Hub (H_GZ) to be the best pairing. Importantly, the initial Veto Rule guarantees social compliance, whereas a sensitivity analysis testifies to the stability of the final selection. The model provides a measurable platform to brands that aim to introduce digital traceability and efficiency in their operations to adapt to the new global circular requirements.