A Two-Stage Multi-Criteria Supplier Selection Model for Sustainable Automotive Supply Chain under Uncertainty

Sustainable supplier selection (SSS) is gaining popularity as a practical method to supply chain sustainability among academics and practitioners. However, in addition balancing economic, social, environmental factors, the emergence of COVID-19 pandemic has affected long-term suppliers ensure sustainable chains, recover better from effectively respond any future unprecedented crises. The purpose this study assess choose possible based on their capability adapt epidemic manner. For assessment, framework multi-criteria decision making (MCDM) provided that integrates spherical fuzzy Analytical Hierarchical Process (SF-AHP) grey Complex Proportional Assessment (G-COPRAS), which sets numbers are used express ambiguous linguistic evaluation statements experts. In first stage, criteria system identified through literature review experts’ opinions. SF-AHP then determine weights. Finally, G-COPRAS utilized select suppliers. A case automotive industry Vietnam presented demonstrate proposed approach’s effectiveness. From findings, “quality”, “use personal protective equipment”, “cost/price”, “safety health practices wellbeing suppliers”, “economic recovery programs” have been ranked five most important criteria. analysis, THACO Parts (Supplier 02) best supplier. sensitivity was also conducted verify robustness model, priority rankings very similar. development increased competitiveness, industrial businesses must stress integration response mechanisms during SSS implementation epidemic, according findings. This will result significant cost resource savings, well reduced consequences chain, independent crisis.