Aerobic granulation has emerged as a transformative approach in wastewater treatment, offering superior biomass retention, compact reactor design, and enhanced pollutant removal efficiency compared to conventional activated sludge processes. However, achieving stable and rapid biogranule formation in textile wastewater systems remains a critical challenge due to fluctuating organic loads, inhibitory compounds, and hydrodynamic limitations. This study proposes an advanced process optimization framework integrating static mixers within aerobic sequencing batch reactor (SBR) systems to enhance biogranule development and treatment performance. The framework systematically examines hydrodynamic shear forces, mass transfer efficiency, and microbial aggregation mechanisms influenced by static mixer configurations. A structured methodological approach combining theoretical modeling, reactor design optimization, and parameter sensitivity analysis is employed. Findings indicate that controlled turbulence induced by static mixers significantly accelerates granulation, improves sludge settleability, and enhances organic and nutrient removal efficiencies. The study further highlights the interplay between operational parameters such as dissolved oxygen, hydraulic retention time, and sludge retention time in governing granule stability. The proposed framework provides a scalable and efficient solution for textile wastewater treatment, contributing to sustainable environmental management and industrial wastewater reuse strategies.