Integrating AHP and SAW for sustainable supplier selection in green supply chains

The growing emphasis on sustainability and resilience in the post pandemic era has increased the need for supplier evaluation models that incorporate Environmental, Social, and Governance criteria. However, existing approaches often lack a structured and quantitative method for integrating ESG indicators into procurement decisions. This study proposes a hybrid decision making framework based on the Analytic Hierarchy Process and Simple Additive Weighting to support ESG based supplier selection in green supply chains. The AHP method was used to derive weights for three ESG dimensions and nine sub criteria through pairwise comparisons provided by five experts. The SAW method was applied to evaluate the performance of five suppliers using normalized ESG metrics. The results show that the Environmental dimension received the highest weight, reflecting organizational priorities in carbon reduction and resource efficiency. Supplier S3 achieved the highest overall score due to strong performance across the most influential ESG indicators. Sensitivity analysis confirmed the stability of the model under alternative weighting scenarios. This study contributes to the literature by operationalizing ESG criteria within a transparent and replicable multi criteria framework and provides practical guidance for organizations seeking to implement sustainability oriented supplier selection.