This study presents a comprehensive framework specifically designed to optimize the finishing process within textile factories. Unlike previous research that often overlooks or provides generic solutions to the finishing stage, our proposed framework tackles the specific challenges of this critical stage, including identifying and addressing bottlenecks, standardizing work methods, optimizing facility layout, and incorporating simulation modeling to evaluate potential improvements. The proposed framework utilizes various engineering methods, including work methods, statistical testing, standard operating procedures (SOPs), systemic layout planning (SLP), and simulation modeling. The proposed framework generated several solution scenarios, with the winning scenario involving standardization of work methods, optimization of the layout, and the introduction of a new packaging station. This resulted in a significant increase in production efficiency, with a 17.7% improvement in production efficiency, a 31% reduction in manufacturing lead time, and a 42.8% decrease in work-in-progress in the premade knitting station. Additionally, queue times in the packaging and gluing stations were reduced by 47.4% and 38.9%, respectively. This study presents a comprehensive framework specifically designed to optimize the finishing process within textile factories. Unlike previous research that often overlooks or provides generic solutions to the finishing stage, our proposed framework tackles the specific challenges of this critical stage, including identifying and addressing bottlenecks, standardizing work methods, optimizing facility layout, and incorporating simulation modeling to evaluate potential improvements. The proposed framework utilizes various engineering methods, including work methods, statistical testing, standard operating procedures (SOPs), systemic layout planning (SLP), and simulation modeling. The proposed framework generated several solution scenarios, with the winning scenario involving standardization of work methods, optimization of the layout, and the introduction of a new packaging station. This resulted in a significant increase in production efficiency, with a 17.7% improvement in production efficiency, a 31% reduction in manufacturing lead time, and a 42.8% decrease in work-in-progress in the premade knitting station. Additionally, queue times in the packaging and gluing stations were reduced by 47.4% and 38.9%, respectively.