Developing an Illustrative Model for Evaluating the Performance of Green Supply Chain Management in the Petrochemical Industry using the Analytic Hierarchy Process (AHP)

From an organizational standpoint, the gas and petrochemical industries situated in the Khuzestan port area have, despite contributing to the nation's economic prosperity, caused local and regional health and environmental impacts. Therefore, this study initially assesses the petrochemical industry and then focuses on evaluating green supply chain management performance using the Analytic Hierarchy Process (AHP). To accomplish this, a model was extracted using the Grand Theory method, and the weights for each component of the model, criteria, and sub-criteria were calculated through the hierarchical analysis process, creating a tool for assessing green supply chain management performance in the petrochemical industry. Data collection involved expert consensus, with input and pairwise comparisons from five experts. Data analysis was conducted using Expert Choice software. The results revealed that primary conditions (A) with a weight of 0.307 held the top rank, contextual factors (B) with a weight of 0.239 ranked second, consequences (E) with a weight of 0.223 ranked third, intervening conditions (C) with a weight of 0.133 ranked fourth, and strategies with a weight of 0.098 secured the fifth position within the petrochemical industry's green supply chain.