Sustainable Supplier Selection and Order Allocation Using an Integrated ROG-Based Type-2 Fuzzy Decision-Making Approach

The sustainable Supplier Evaluation and Selection Order Allocation (SSOA) problem has received significant attention in supply chain management due to its potential enhance a company’s performance, improve customer satisfaction, reduce costs. In this study, an integrated methodology is proposed address the SSOA problem. combines multiple techniques handle uncertainties associated with supplier evaluation, including new ranking method based on concept of Radius Gyration (ROG) for interval type-2 fuzzy sets. also incorporates both subjective weights obtained using Simple Multi-Attribute Rating Technique (SMART) expert preferences, objective calculated Method Removal Effects Criteria (MEREC) determine evaluation criteria. Some criteria development are used evaluate resulting sets, which evaluated Weighted Aggregated Sum Product Assessment (WASPAS) method. ROG-based employed calculate relative scores suppliers. Finally, multi-objective decision-making (MODM) mathematical model presented identify suitable suppliers allocate their order quantities. demonstrated shown be efficient effective, as allows more accurate performance use highlights importance sustainability selection allocation. methodology’s practicality further supported by analysis conducted demonstrates ability selection. offers comprehensive approach that can effectively promote practices management.