<p>Circular textiles represent a strategic approach to adding value by closing the loop in the textile supply chain, reducing waste, and extending product lifespans. Recently, increasing amounts of textile waste being sent to landfills have raised serious environmental and economic concerns, as valuable materials are lost from the supply chain and disposal costs continue to rise. This prompts growing interest from both researchers and industry in the potential of textile recycling in advancing a more sustainable and circular economy. This research introduces a novel Mixed-Integer Linear Programming (MILP) approach to optimize the Textile Closed-Loop Supply Chain (TCLSC) that simultaneously integrates both pre- and post-consumer waste recycling—pre-consumer waste nor dual integration that remains largely unexplored in the literature. To the best of our knowledge, pre-consumer waste has also not been addressed in the literature. The main objective of the model is to reduce overall supply chain costs. Optimal solutions are obtained using GAMS/CPLEX software. The results demonstrate that post-product waste recycling significantly reduces the cost of purchasing textile fibers, contributing to minimization of total TCLSC cost. In addition, the conducted sensitivity analysis examines how recycling and refurbishment operations influence the network’s efficiency. Furthermore, increasing customer demand alongside higher recycling ratios leads to a decrease in total cost. Finally, ANOVA statistical tests confirm that both pre- and post-recycling ratios significantly impact the total cost of the TCLSC network.</p>