Purpose: This study aims to empirically investigate the potential of automated and robotic logistics systems to enhance efficiency within the End-of-Line production stage. Specifically, it explores the application of simulation modelling as a tool employed within the Theory of Constraints (TOC) framework, with the objective of optimising material flow and minimising bottleneck at this critical juncture of the manufacturing process. Methods: This research employed a synergistic approach, combining discrete-event simulation modelling with the principles of TOC, to analyse and optimise production line operations within the End-of-Line area. The study focused on identifying and mitigating bottlenecks in material flow, such as those associated with packaging, palletisation, and transportation. Findings: The research findings demonstrate that the integration of automated and robotic logistics technologies, guided by TOC principles, can significantly enhance End-of-Line efficiency. TOC proved to be invaluable in identifying and addressing critical constraints within the material flow, enabling the optimisation of throughput and the minimisation of delays. Practical Implementation: The findings of this study have direct practical implications for manufacturing organisations seeking to improve the efficiency and agility of their End-of-Line operations. By implementing automated and robotic solutions, guided by TOC principles, businesses can achieve significant reductions in lead times, labour costs, and overall production costs. Originality: The originality of this research resides in its combined application of simulation modelling, TOC principles, and the evaluation of advanced logistics technologies specifically within the context of End-of-Line operations. This integrated approach provides a unique framework for optimising material flow, minimising bottlenecks, and achieving significant improvements in End-of-Line efficiency and overall manufacturing performance.