The textile industry, which contributes significantly to global manufacturing, is under increasing pressure to align its operations with environmentally friendly methods. This study proposes a complete methodology for optimizing green logistics in the textile supply chain, with a dual emphasis on lowering carbon emissions and reducing water footprints. The study incorporates environmental concerns into logistics decision-making processes in order to promote a more sustainable and environmentally responsible industry. The proposed model employs life cycle assessment (LCA) methods to calculate the carbon footprint and water footprint associated with each stage of the textile supply chain. It investigates important logistical components such as transportation, warehousing, and distribution in order to discover potential for efficiency gains and emissions reductions. The suggested model provides a comprehensive view of sustainability by taking into account both carbon emissions and water footprints. Finally, the research hopes to steer the textile sector toward a more ecologically conscious and economically viable future by encouraging a paradigm shift toward greener logistics techniques. The goal of this research is to optimize production quantity, total expenses per production cycle, and waste emissions. Data from the pulp and paper mill industry was used to validate and test the model. The model's effectiveness was determined by comparing the costs generated in two (2) scenarios: (1) an EPQ model that takes into account the costs of greenhouse gas (GHG) emissions; (2) an EPQ model that takes shortages.