Supplier Ranking and Selection Based on Industry 5.0, Resilience and Circular Economy in a closed-loop Supply Network

This thesis proposes a systematic procedure for the selection and ranking of suppliers at Laprima Plastics within a closed-loop supply network, incorporating the principles of Circular Economy (CE) and Industry 5.0 (I5.0). A robust evaluation framework is developed using the stochastic Best-Worst Method (BWM) for criteria weighting and the stochastic Complex Proportional Assessment (COPRAS) method for supplier ranking. Key indicators were identified through a combination of literature review and expert consultation, focusing on sustainability, digitalization, resilience, and human-centric factors. The methodology addresses uncertainty by considering multiple scenarios—pessimistic, most-likely, and optimistic—and assigns probabilities to each. Sensitivity analysis is performed to assess the stability of the rankings under different scenario probabilities. Additionally, fuzzy TOPSIS was employed for comparative purposes to validate the results obtained from stochastic COPRAS. The findings confirm the reliability and robustness of the developed approach for sustainable supplier evaluation. This research offers a practical decision-making model to support closed-loop supply network management, enhancing sustainability and operational resilience. Limitations related to the scope of methods and uncertainty models are acknowledged, and future research directions are suggested to further extend the applicability and precision of the proposed framework.