<p>The research on a hybrid model of mathematical modeling and simulation for enhancing the transmission of petrochemical products within a green supply chain is situated at the intersection of environmental sustainability. This study aims to address the pressing need for more efficient and environmentally friendly practices in the petrochemical industry, where the demand for greener solutions is increasing due to regulatory requirements and stakeholder expectations. The proposed framework provides a fully quantitative basis for decision-making, enabling petrochemical companies to make informed choices that prioritize meeting customer demands, reducing costs, and mitigating greenhouse gas emissions. Here, a model was developed to enhance the efficiency of the petroleum condensate supply chain through mathematical programming, enabling the formulation and implementation of strategic and tactical strategies. The aim is to minimize investment and operational expenses as well as greenhouse gas emissions associated with petroleum and gas pipelines, ensuring compliance with pressure and transmission network criteria. Moreover, efforts are made to reduce the environmental impact by minimizing pollutant emissions within the supply chain. By utilizing a practical case study, all potential decisions are thoroughly evaluated to address the environmental considerations of the supply chain. The proposed model demonstrates a high level of reliability and accuracy when compared to simulation modeling and the NSGA-II meta-heuristic algorithm, effectively estimating the desired objectives.</p>