Sustainable resilient supplier selection for IoT implementation based on the integrated BWM and TRUST under spherical fuzzy sets

Supplier selection process plays a vital role in supply chain management and is the most important variable its success. With increasing environmental considerations, organizations must consider sustainability considerations economic goals to protect environment. Furthermore, destructive effects of disruptions on performance companies have prompted organizational experts pay special attention concept resilience. This study developed an integrated approach based extended version Multi-Criteria Decision-Making (MCDM) methods spherical fuzzy (SFS) environment address sustainable resilient IoT supplier selection. In proposed approach, main criteria (i.e., resilience, sustainability) been used process. Then, these are weighted using SFS-Best-Worst Method (BWM), which reduces uncertainty pairwise comparisons. next step, 14 selected suppliers evaluated prioritized by applying SFS-mulTi-noRmalization mUlti-Distance aSsessmenT (TRUST) that considers multi-normalization algorithm reduce subjectivity normalized data. The results this shows pollution control risk-taking sub-criteria placed first second priorities, respectively. comparison SFS-TRUST with other MCDM sensitivity analysis demonstrates ranking stability various scenarios.