An Integrated Fuzzy PIPRECIA–CODAS Approach for Agile and Circular Supplier Evaluation

Supplier selection in circular supply chain networks poses a multi-criteria decision-making challenge where environmental sustainability and operational responsiveness must be jointly optimized. Although agility and circularity are both essential for competitiveness, prior studies have typically treated them as independent constructs, leaving a methodological gap in their integrated evaluation. This study develops and empirically validates a structured decision framework that integrates agile and circular supplier evaluation. A context-specific set of criteria is established based on the literature and expert input, and an integrated fuzzy PIPRECIA–CODAS methodology is employed to quantify trade-offs under uncertainty. The framework is applied to a medium-sized technology manufacturer in the sustainable mobility sector, demonstrating its ability to identify suppliers that balance flexibility, recyclability, and resource efficiency. Results show that the approach improves decision transparency and consistency compared to conventional weighting–ranking models. The findings indicate that the framework enables a more integrated evaluation of agility and circularity, supporting consistent and strategically aligned supplier selection decisions under uncertainty. Beyond methodological integration, the study offers a replicable decision-support framework that provides both theoretical contribution and practical guidance for aligning sustainability and responsiveness in supplier selection.